Sürdürülebilir Kalkınmada Dijital Dönüşüm ve Yapay Zekâ
Özet
Sürdürülebilir Kalkınma Amaçları (SKA'lar), Birleşmiş Milletler tarafından 2015 yılında 17 küresel hedeften oluşan bir dizi olarak yayımlanmıştır. Bu hedefler, yoksulluk, eşitsizlik, iklim değişikliği, çevresel bozulma, barış ve adalet gibi kritik küresel zorlukları ele alarak, çözümler üreterek ortadan kaldırmayı amaçlamaktadır. Endüstrileri ve toplumu yeniden şekillendiren dijital dönüşüm ve yapay zeka (YZ) gibi yenilikçi teknolojiler bu hedeflere ulaşmada önemli katkılar sunmaktadır. Dijital dönüşüm, iş süreçlerini ve toplumsal yapıları dönüştürerek verimliliği ve kaynak optimizasyonunu iyileştirirken, veri analitiği ve makine öğrenimi de dahil olmak üzere YZ uygulamaları, karar destek sistemlerini ve problem çözme yeteneklerini güçlendirir. Bu bölüm, dijital dönüşümün ve YZ'nin sürdürülebilir kalkınmayı ilerletmedeki rolünü inceler ve bu teknolojilerin SKA'lara ulaşmak için stratejik araçlar olarak nasıl hizmet ettiğini örneklerle vurgulamaktadır.
Referanslar
Adhikari, D. R., & Shah, B. B. (2021). The state of the art in the incorporation of sustainable development goals in Nepalese Universities. International Journal of Sustainability in Higher Education, 22(6), 1373-1401. https://doi.org/10.1108/IJSHE-11-2020-0460
Afolaranmi, A. O., & Amodu, A. A. (2022). Critical review of sustainable peace, mediative dialogue and social media. CRITICAL REVIEW, 5(3), 28-43.
Aiken, E., Bellue, S., Karlan, D., Udry, C., & Blumenstock, J. E. (2022). Machine learning and phone data can improve targeting of humanitarian aid. Nature, 603(7903), 864-870. https://doi.org/10.1038/s41586-022-04484-9
Albreem, M. A., Sheikh, A. M., Alsharif, M. H., Jusoh, M., & Mohd Yasin, M. N. (2021). Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges. IEEE Access, 9, 38833-38858. https://doi.org/10.1109/ACCESS.2021.3061697
Ametepey, S. O., Aigbavboa, C., Thwala, W. D., & Addy, H. (2024). The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study. Sustainability, 16(9), 3858. https://doi.org/10.3390/su16093858
Anderson, E., McLoughlin, L., Liarokapis, F., Peters, C., Petridis, P., & de Freitas, S. (2010). Developing serious games for cultural heritage: A state-of-the-art Review. Virtual Reality, 14, 255-275. https://doi.org/10.1007/s10055-010-0177-3
Azarov, V. N., Chekmarev, A. V., & Zueva, O. M. (2022). Digital Transformation of Education. 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), 323-327. https://doi.org/10.1109/ITQMIS56172.2022.9976686
Baccelli, E., Doerr, J., Kikuchi, S., Padilla, F. A., Schleiser, K., & Thomas, I. (2018). Scripting Over-The-Air: Towards Containers on Low-end Devices in the Internet of Things. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 504-507. https://doi.org/10.1109/PERCOMW.2018.8480277
BEDNARČÍKOVÁ, D., & ZAHRADNÍK, P. (2022). INTERNET OF THINGS AND ITS USE IN BUSINESS ENTITIES OF THE WORLD. Geliş tarihi 01 Temmuz 2024, gönderen University of Economics in Bratislava website: https://journals.euba.sk/m/edamba/content/2021/internet-of-things-and-its-use-in-business-entities-of-the-world
Biota, I., Dosil-Santamaria, M., Mondragon, N. I., & Ozamiz-Etxebarria, N. (2022). Analyzing University Students’ Perceptions Regarding Mainstream Pornography and Its Link to SDG5. International Journal of Environmental Research and Public Health, 19(13), 8055. https://doi.org/10.3390/ijerph19138055
Bohanec, M., Borštnar, M. K., & Robnik-Šikonja, M. (2016). Integration of Machine Learning Insights into Organizational Learning: A Case of B2B Sales Forecasting. Içinde F. D’Ascenzo, M. Magni, A. Lazazzara, & S. Za (Ed.), Blurring the Boundaries Through Digital Innovation (ss. 71-85). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-38974-5_7
Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V., & Kalai, A. (2016). Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.
Bououd, I., & Fafi, R. (t.y.). Learning Evolution: A proposal of Serious Game that automatically corrects dictation.
Carter, S., van Rees, C. B., Hand, B. K., Muhlfeld, C. C., Luikart, G., & Kimball, J. S. (2021). Testing a generalizable machine learning workflow for aquatic invasive species on rainbow trout (Oncorhynchus mykiss) in Northwest Montana. Frontiers in big Data, 4, 734990.
Cha, Y., Shin, J., Go, B., Lee, D.-S., Kim, Y., Kim, T., & Park, Y.-S. (2021). An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates. Journal of Environmental Management, 291, 112719.
Chen, H., Mckeever, S., & Delany, S. (2017). Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media. https://doi.org/10.1007/978-3-319-46562-3_12
Chen, T.-H., Lee, M.-H., Hsia, I.-W., Hsu, C.-H., Yao, M.-H., & Chang, F.-J. (2022). Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques. Water, 14(23), 3941.
Chen, X. (2022). Research on the Application of AI Artificial Intelligence Technology in Intelligent Buildings. Academic Journal of Architecture and Geotechnical Engineering, 4(3). https://doi.org/10.25236/AJAGE.2022.040306
Chien, F., Wang, C.-N., Chau, K. Y., Nguyen, V. T., & Nguyen, V. T. (2021). Sustainability in the Business Sector: A Fuzzy Multicriteria Decision-Making Model for Financial Leasing Company Selection of the Vietnamese SMEs. SAGE Open, 11(3), 21582440211036080. https://doi.org/10.1177/21582440211036080
Choi, Y.-J., Kang, H.-J., & Lee, I.-G. (2019). Scalable and Secure Internet of Things Connectivity. Electronics, 8(7), 752. https://doi.org/10.3390/electronics8070752
Chu, K.-S., Oh, C.-H., Choi, J.-R., & Kim, B.-S. (2022). Estimation of threshold rainfall in ungauged areas using machine learning. Water, 14(6), 859.
Cirianni, F. M. M., Comi, A., & Quattrone, A. (2023). Mobility Control Centre and Artificial Intelligence for Sustainable Urban Districts. Information, 14(10), 581. https://doi.org/10.3390/info14100581
Coenen, J., Glass, LM., & Sanderink, L. (2022). Two degrees and the SDGs: A network analysis of the interlinkages between transnational climate actions and the Sustainable Development Goals | Sustainability Science. Geliş tarihi 09 Temmuz 2024, gönderen https://link.springer.com/article/10.1007/s11625-021-01007-9
Dewitte, S., Cornelis, J. P., Müller, R., & Munteanu, A. (2021). Artificial intelligence revolutionises weather forecast, climate monitoring and decadal prediction. Remote Sensing, 13(16), 3209.
Djevojić, C., & Vitasović, Z. (2023). DIGITAL TRANSFORMATION OF BUSINESS IN THE HOTEL INDUSTRY AND ITS IMPACT ON SUSTAINABLE DEVELOPMENT. DIEM : Dubrovnik International Economic Meeting, 8(1), 46-56. https://doi.org/10.17818/DIEM/2023/1.6
Dolgopolov, A. V., Kazantsev, P. A., Bezuhliy, N. N., Dolgopolov, A. V., Kazantsev, P. A., & Bezuhliy, N. N. (2017). Ship detection in images obtained from the unmanned aerial vehicle (UAV). Indian J. Sci. Technol, 9(46), 1-7.
Dressel, J., & Farid, H. (2018). The accuracy, fairness, and limits of predicting recidivism. Science Advances, 4(1), eaao5580. https://doi.org/10.1126/sciadv.aao5580
Dursun-Özkanca, O. (2021). The Nexus Between Security Sector Governance/Reform and Sustainable Development Goal-16. Içinde Ubiquity Press. Ubiquity Press. https://doi.org/10.5334/bcm
Ebrahimi, M., Nunamaker Jr., J. F., & Chen, H. (2020). Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach. Journal of Management Information Systems, 37(3), 694-722. https://doi.org/10.1080/07421222.2020.1790186
Evanschitzky, H., Bartikowski, B., Baines, T., Blut, M., Brock, C., Kleinlercher, K., … Wünderlich, N. V. (2020). Digital Disruption in Retailing and Beyond. SMR - Journal of Service Management Research, 4(4), 187-204. https://doi.org/10.15358/2511-8676-2020-4-187
Færøy, F. L., Yamin, M. M., Shukla, A., & Katt, B. (2023). Automatic Verification and Execution of Cyber Attack on IoT Devices. Sensors, 23(2), 733. https://doi.org/10.3390/s23020733
Fahmy, S., Deraman, A., Puteh, M., Nasir, A., Roslina, W., & Haslinda, N. (2022). An Analysis of Digital Talent in Academic Publications Reflection on Malaysia’s Digital Transformation Strategies. International Journal of Integrated Engineering, 14(3), 184-192.
Feng, Y., Qiu, L., & Sun, B. (2021). A measurement framework of crowd intelligence. International Journal of Crowd Science, 5(1), 81-91. https://doi.org/10.1108/IJCS-09-2020-0015
Fraga-Lamas, P., Lopes, S. I., & Fernández-Caramés, T. M. (2021). Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case. Sensors, 21(17), 5745. https://doi.org/10.3390/s21175745
Garcia-Garin, O., Monleón-Getino, T., López-Brosa, P., Borrell, A., Aguilar, A., Borja-Robalino, R., … Vighi, M. (2021). Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R. Environmental Pollution, 273, 116490.
Ghobadi, F., & Kang, D. (2022). Multi-step ahead probabilistic forecasting of daily streamflow using Bayesian deep learning: A multiple case study. Water, 14(22), 3672.
Ghobakhloo, M., & Iranmanesh, M. (2021). Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. Journal of Manufacturing Technology Management, 32(8), 1533-1556. https://doi.org/10.1108/JMTM-11-2020-0455
Giuliani, G., Mazzetti, P., Santoro, M., Nativi, S., Van Bemmelen, J., Colangeli, G., & Lehmann, A. (2020). Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation. International Journal of Applied Earth Observation and Geoinformation, 88, 102068.
Good Health and Well-Being | Taylor & Francis eBooks, Reference Works. (t.y.). Geliş tarihi 11 Temmuz 2024, gönderen Sustainable Development Goals Online website: https://www.taylorfrancis.com/collections/good-health-well-being/aabe2fa7-37de-489a-b905-6bc2b94b9e75?context=sdgo
Goonatilleke, S. T., & Hettige, B. (2022). Past, Present and Future Trends in Multi-Agent System Technology | IIETA. (55), 723-729. https://doi.org/10.18280/jesa.550604
Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers, 36(2), 180-192. https://doi.org/10.3758/BF03195563
Gurnani, B., Kaur, K., & Morya, A. K. (2023). Adoption, implementation, definitions, and future of blockchain technology in ophthalmology. Indian Journal of Ophthalmology, 71(3), 1025. https://doi.org/10.4103/ijo.IJO_1802_22
Herath, D. L., Abeyratne, U. R., & Hukins, C. (2015). Hidden Markov modelling of intra-snore episode behavior of acoustic characteristics of obstructive sleep apnea patients. Physiological measurement, 36(12), 2379.
Hernández-Bedolla, J., Solera, A., Paredes-Arquiola, J., Sanchez-Quispe, S. T., & Domínguez-Sánchez, C. (2022). A Continuous Multisite Multivariate Generator for Daily Temperature Conditioned by Precipitation Occurrence. Water, 14(21), 3494.
Herrenkind, B., Brendel, A., Lichtenberg, S., & Kolbe, L. (2019). Computing Incentives for User-Based Relocation in Carsharing. Wirtschaftsinformatik 2019 Proceedings. Geliş tarihi gönderen https://aisel.aisnet.org/wi2019/track12/papers/3
Ho, S. Y., Choi, K. W. S., & Yang, F. F. (2019). Harnessing aspect-based sentiment analysis: How are tweets associated with forecast accuracy? Journal of the Association for Information Systems, 20(8), 2.
Hu, J., Li, D., Duan, Q., Han, Y., Chen, G., & Si, X. (2012). Fish species classification by color, texture and multi-class support vector machine using computer vision. Computers and electronics in agriculture, 88, 133-140.
Huang, A., & Chang, F.-J. (2021). Using a self-organizing map to explore local weather features for smart urban agriculture in northern Taiwan. Water, 13(23), 3457.
Hurt, K., Walker, R., Campbell, J., & Egede, L. (2016). mHealth Interventions in Low and Middle-Income Countries: A Systematic Review. Global Journal of Health Science, 8, 183. https://doi.org/10.5539/gjhs.v8n9p183
Igeltjørn, A., & Habib, L. (2020). Homebased Telework as a Tool for Inclusion? A Literature Review of Telework, Disabilities and Work-Life Balance. Içinde M. Antona & C. Stephanidis (Ed.), Universal Access in Human-Computer Interaction. Applications and Practice (ss. 420-436). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-49108-6_30
Isabelle, D. A., & Westerlund, M. (2022). A review and categorization of artificial intelligence-based opportunities in wildlife, ocean and land conservation. Sustainability, 14(4), 1979.
Iyer, S. S. (2022). Adopting a Student Centric Education Blockchain System. International Journal of Information and Communication Sciences, 7(3), 48-65. https://doi.org/10.11648/j.ijics.20220703.11
Jain, R. K., Smith, K. M., Culligan, P. J., & Taylor, J. E. (2014). Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy. Applied Energy, 123, 168-178. https://doi.org/10.1016/j.apenergy.2014.02.057
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790-794. https://doi.org/10.1126/science.aaf7894
Jensen, T., Seerup Hass, F., Seam Akbar, M., Holm Petersen, P., & Jokar Arsanjani, J. (2020). Employing machine learning for detection of invasive species using sentinel-2 and aviris data: The case of Kudzu in the United States. Sustainability, 12(9), 3544.
Jones, P., Comfort, D., & Hillier, D. (2018). The sustainable development goals and retailing. World Review of Entrepreneurship, Management and Sustainable Development, 14(5), 608. https://doi.org/10.1504/WREMSD.2018.094335
Júnior, A. C. D. S., Munoz, R., Quezada, M. D. L. Á., Neto, A. V. L., Hassan, M. M., & De Albuquerque, V. H. C. (2021). Internet of water things: A remote raw water monitoring and control system. IEEE Access, 9, 35790-35800.
Kennerly, M., & Pfister, D. S. (2018). Ancient Rhetorics and Digital Networks. University of Alabama Press.
Kessler, R., Warner, C., Ivany, C., Petukhova, M., Rose, S., Bromet, E., … Ursano, R. (2015). Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA psychiatry, 72, 49-57. https://doi.org/10.1001/jamapsychiatry.2014.1754
Kuhlmann, E., Lotta, G., Fernandez, M., Herten-Crabb, A., Fehr, L. M., Maple, J.-L., … Willis, K. (2022, Eylül 15). SDG5 ‘Gender Equality’ and the COVID-19 pandemic: A rapid assessment of health system responses in selected upper-middle and high-income countries (s. 2022.09.09.22279765). s. 2022.09.09.22279765. medRxiv. https://doi.org/10.1101/2022.09.09.22279765
Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2018). Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning. Journal of Management Information Systems, 35(1), 350-380. https://doi.org/10.1080/07421222.2018.1440758
Kusuma, C. S. D., Pradhanawati, A., Ngatno, N., & Dewi, R. S. (2022, Eylül 20). Developing Economic and Environment on Innovation Practice of Sustainable Product in MSME Temanggung Arabica Coffee. Program adı: Proceedings of the 6th International Conference on Social and Political Enquiries, ICISPE 2021, 14-15 September 2021, Semarang, Indonesia. Geliş tarihi gönderen https://eudl.eu/doi/10.4108/eai.14-9-2021.2321362
Kwok, R. (2019). AI empowers conservation biology. Nature, 567(7746), 133-134.
Lal, A., & Umer, F. (2024). Navigating challenges and opportunities: AI’s contribution to Pakistan’s sustainable development goals agenda – a narrative review. Journal of the Pakistan Medical Association, 74(4), 49-S. https://doi.org/10.47391/JPMA.AKU-9S-08
Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., De Jong, E. E. C., Van Timmeren, J., … Walsh, S. (2017). Radiomics: The bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology, 14(12), 749-762. https://doi.org/10.1038/nrclinonc.2017.141
Lanza, J., Sánchez, L., Gutiérrez, V., Galache, J. A., Santana, J. R., Sotres, P., & Muñoz, L. (2016). Energies | Free Full-Text | Smart City Services over a Future Internet Platform Based on Internet of Things and Cloud: The Smart Parking Case. Geliş tarihi 01 Temmuz 2024, gönderen https://www.mdpi.com/1996-1073/9/9/719
Li, C., Dong, Z., Chen, G., Zhou, B., Zhang, J., & Yu, X. (2021). Data-driven planning of electric vehicle charging infrastructure: A case study of Sydney, Australia. IEEE Transactions on Smart Grid, 12(4), 3289-3304.
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., … Xia, J. (2020). Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT. Radiology, 200905. https://doi.org/10.1148/radiol.2020200905
Li, W., Chen, H., & Nunamaker Jr., J. F. (2016). Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System. Journal of Management Information Systems, 33(4), 1059-1086. https://doi.org/10.1080/07421222.2016.1267528
Li, X., Peng, L., Yao, X., Cui, S., You, C., & Chi, T. (2017). Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. Environmental pollution (Barking, Essex : 1987), 231, 997-1004. https://doi.org/10.1016/j.envpol.2017.08.114
Lieber, D., Stolpe, M., Konrad, B., Deuse, J., & Morik, K. (2013). Quality prediction in interlinked manufacturing processes based on supervised & unsupervised machine learning. Procedia Cirp, 7, 193-198.
Liu, N., Shapira, P., & Yue, X. (2021). Tracking developments in artificial intelligence research: Constructing and applying a new search strategy. Scientometrics, 126(4), 3153-3192. https://doi.org/10.1007/s11192-021-03868-4
Liu, Q. (2022). Analysis of Collaborative Driving Effect of Artificial Intelligence on Knowledge Innovation Management. Geliş tarihi 09 Temmuz 2024, gönderen https://onlinelibrary.wiley.com/doi/10.1155/2022/8223724
Liu, Y., Pant, G., & Sheng, O. R. L. (2020a). Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills. Information Systems Research, 31(4), 1443-1466. https://doi.org/10.1287/isre.2020.0954
Liu, Y., Pant, G., & Sheng, O. R. L. (2020b). Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills. Information Systems Research, 31(4), 1443-1466. https://doi.org/10.1287/isre.2020.0954
Loukis, E. N., Arvanitis, S., & Alexopoulos, C. (2018). A Methodology for Economic Crisis Policy Analytics. Geliş tarihi gönderen https://aisel.aisnet.org/mcis2018/42/
Lu, R., Hong, S. H., & Yu, M. (2019). Demand response for home energy management using reinforcement learning and artificial neural network. IEEE Transactions on Smart Grid, 10(6), 6629-6639.
Mantlana, K. B., & Maoela, M. A. (2020). Mapping the interlinkages between sustainable development goal 9 and other sustainable development goals: A preliminary exploration. Business Strategy & Development, 3(3), 344-355. https://doi.org/10.1002/bsd2.100
Marantos, C., Lamprakos, C., Siozios, K., & Soudris, D. (2019). Towards Plug&Play Smart Thermostats for Building’s Heating/Cooling Control. İçinde K. Siozios, D. Anagnostos, D. Soudris, & E. Kosmatopoulos (Ed.), IoT for Smart Grids (ss. 183-207). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-03640-9_10
Mari, V., Spolverato, G., & Ferrari, L. (2022). The potential of artificial intelligence as an equalizer of gender disparity in surgical training and education. Artificial Intelligence Surgery, 2, 122-131. https://doi.org/10.20517/ais.2022.12
Marji, N., Kohout, M., Chen, L., Isik, G. E., & Kumar, A. R. (2024). AI-enabled transition to smart European cities. Acta Polytechnica CTU Proceedings, 46, 85-93. https://doi.org/10.14311/APP.2024.46.0085
Marquard, E., Bartke, S., Gifreu, J., Humer, A., Jonkman, A., Jürgenson, E., … Bovet, J. (2020). Land Consumption and Land Take: Enhancing Conceptual Clarity for Evaluating Spatial Governance in the EU Context. Sustainability, 12, 8269. https://doi.org/10.3390/su12198269
Masolele, R. N., De Sy, V., Herold, M., Marcos, D., Verbesselt, J., Gieseke, F., … Martius, C. (2021). Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series. Remote Sensing of Environment, 264, 112600.
Mbiti, I., & Weil, D. N. (2016). 7. Mobile Banking: The Impact of M- Pesa in Kenya. Içinde 7. Mobile Banking: The Impact of M- Pesa in Kenya (ss. 247-294). University of Chicago Press. https://doi.org/10.7208/9780226315867-009
McKinney, S., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., … Shetty, S. (2020). Addendum: International evaluation of an AI system for breast cancer screening. Nature, 586, E19-E19. https://doi.org/10.1038/s41586-020-2679-9
Mergel, I., Kattel, R., Lember, V., & McBride, K. (2018). Citizen-oriented digital transformation in the public sector. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, 1-3. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3209281.3209294
Mhlanga, D. (2020). Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion. International Journal of Financial Studies, 8, 45. https://doi.org/10.3390/ijfs8030045
Mhlanga, D. (2021). The Fourth Industrial Revolution and COVID-19 Pandemic in South Africa: The Opportunities and Challenges of Introducing Blended Learning in Education. Journal of African Education, 2, 15-42. https://doi.org/10.31920/2633-2930/2021/v2n2a1
Mhlanga, D. (2022). Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution. Sustainability, 14(13), 7804. https://doi.org/10.3390/su14137804
Milicevic, N., Kalas, B., Djokic, N., Malcic, B., & Djokic, I. (2024). Students’ Intention toward Artificial Intelligence in the Context of Digital Transformation. Sustainability, 16(9), 3554. https://doi.org/10.3390/su16093554
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516. https://doi.org/10.1016/j.adhoc.2012.02.016
Mohammed, marwa S., & Hashim, A. N. (2023). Blockchain technology, methodology behind it, and its most extensively used encryption techniques. Al-Salam Journal for Engineering and Technology, 2(2), 140-151. https://doi.org/10.55145/ajest.2023.02.02.017
Morrison, J., & Malik, S. M. M. R. (2023). Population health trends and disease profile in Somalia 1990–2019, and projection to 2030: Will the country achieve sustainable development goals 2 and 3? BMC Public Health, 23(1), 66. https://doi.org/10.1186/s12889-022-14960-6
Morse, H. F., AlGhamdi, M. S., Almusaied, H. M., Alsubaie, S. A., Almarri, D. M., Alqahtani, M. A., … Balharith, T. (2021). The Smart Heater Based on Internet of Things. Içinde A. E. Hassanien, A. Haqiq, P. J. Tonellato, L. Bellatreche, S. Goundar, A. T. Azar, … D. Bouzidi (Ed.), Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (ss. 145-153). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-76346-6_14
Mukombwe, J. S., Toit, A. du, & Hendriks, S. L. (2024). Chapter 36: Sustainable Development Goal 16: Peace, justice and strong institutions. Geliş tarihi gönderen https://www.elgaronline.com/edcollchap/book/9781839105449/book-part-9781839105449-41.xml
Nations, U. (2017, Kasım 30). Sustainable Development Goal 1: End poverty in all its forms everywhere [Text]. https://doi.org/10.18356/99118340-en
Nations, U. (2021). The second world ocean assessment. United Nations New York, USA.
Newlands, N. K., & Ghahari, A. (t.y.). Deep Learning for Improved Agricultural Risk Management.
Nguyen, Q. V., Wiedemann, S. G., Simmons, A., & Clarke, S. J. (2021). The environmental consequences of a change in Australian cotton lint production. The International Journal of Life Cycle Assessment, 26(12), 2321-2338.
Novikov, S. V., & Sazonov, A. A. (2019). Application of the open operating system ‘MindSphere’ in digital transformation of high-tech enterprises. Economics Journal, 1(1), 20-26. https://doi.org/10.46502/issn.2711-2454/2019.1.03
Ofori, M., & El-Gayar, O. (2020). Towards Deep Learning for Weed Detection: Deep Convolutional Neural Network Architectures for Plant Seedling Classification. Research & Publications. Geliş tarihi gönderen https://scholar.dsu.edu/bispapers/219
Okulich-Kazarin, V., Artyukhov, A., Skowron, L., Artyukhova, N., & Wołowiec, T. (2024). Will AI Become a Threat to Higher Education Sustainability? A Study of Students’ Views. Sustainability, 16, 4596. https://doi.org/10.3390/su16114596
O’Leary, D. E. (2019). Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations. Geliş tarihi 30 Haziran 2024, gönderen https://onlinelibrary.wiley.com/doi/10.1002/isaf.1457
Ølnes, S., Ubacht, J., & Janssen, M. (2017). Blockchain in government: Benefits and implications of distributed ledger technology for information sharing—ScienceDirect. Geliş tarihi 30 Haziran 2024, gönderen https://www.sciencedirect.com/science/article/abs/pii/S0740624X17303155?via%3Dihub
Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., & Akinsemolu, A. A. (2023). Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review. Sustainability, 15(13), 10482. https://doi.org/10.3390/su151310482
Opesemowo, O. A. G., & Adekomaya, V. (2024). Harnessing Artificial Intelligence for Advancing Sustainable Development Goals in South Africa’s Higher Education System: A Qualitative Study. International Journal of Learning, Teaching and Educational Research, 23(3). Geliş tarihi gönderen https://ijlter.org/index.php/ijlter/article/view/9733
Pakdaman, M., Babaeian, I., & Bouwer, L. M. (2022). Improved monthly and seasonal multi-model ensemble precipitation forecasts in southwest asia using machine learning algorithms. Water, 14(17), 2632.
Panchal, A. V., Patel, S. C., Bagyalakshmi, K., Kumar, P., Khan, I. R., & Soni, M. (2023). Image-based Plant Diseases Detection using Deep Learning. Materials Today: Proceedings, 80, 3500-3506. https://doi.org/10.1016/j.matpr.2021.07.281
Papadopoulou, P., Kolomvatsos, K., & Hadjiefthymiades, S. (2019). Internet of Things Business Models: The RAWFIE Case. Içinde I. O. Pappas, P. Mikalef, Y. K. Dwivedi, L. Jaccheri, J. Krogstie, & M. Mäntymäki (Ed.), Digital Transformation for a Sustainable Society in the 21st Century (ss. 278-290). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29374-1_23
Peng, Y., Ahmad, S. F., Ahmad, A. Y. A. B., Al Shaikh, M. S., Daoud, M. K., & Alhamdi, F. M. H. (2023). Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals. Sustainability, 15(19), 14165. https://doi.org/10.3390/su151914165
Pestryakov, A., Sbrodova, N., Titovets, A., & Pysova, P. (2021). Sustainable development of housing construction in a major city due to the standard-class segment. E3S Web of Conferences, 296, 03010. https://doi.org/10.1051/e3sconf/202129603010
Peters, K., & Peters, L. (2021). Terra incognita: The contribution of disaster risk reduction in unpacking the sustainability–peace nexus. Sustainability Science, 16. https://doi.org/10.1007/s11625-021-00944-9
Praveenkumar, T., Saimurugan, M., Krishnakumar, P., & Ramachandran, K. I. (2014). Fault diagnosis of automobile gearbox based on machine learning techniques. Procedia Engineering, 97, 2092-2098.
Probst, W. N. (2020). How emerging data technologies can increase trust and transparency in fisheries. ICES Journal of Marine Science, 77(4), 1286-1294.
Rathore, D. B. (2021). Fashion Transformation 4.0: Beyond Digitalization & Marketing in Fashion Industry. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 54-59. https://doi.org/10.56614/eiprmj.v10i2.234
Rof, A., Bikfalvi, A., & Marquès, P. (2020). Digital Transformation for Business Model Innovation in Higher Education: Overcoming the Tensions. Sustainability, 12(12), 4980. https://doi.org/10.3390/su12124980
Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, 226-234.
Sachs, J., Kroll, C., Lafortune, G., Fuller, G., & Woelm, F. (2022). Sustainable Development Report 2022. Cambridge University Press.
Said, Z. M., & Zolkipli, M. F. (2022). Internet of Things (IoT): A Study of Security Issues and Challenges. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 10(02), 16-31. https://doi.org/10.3991/ijes.v10i02.29301
Saini, F., Sharma, T., & Madan, S. (2022). A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future. Advanced Journal of Graduate Research, 11(1), 10-22. https://doi.org/10.21467/ajgr.11.1.10-22
Schnell, P., Haag, P., & Jünger, H. C. (2023). Implementation of Digital Technologies in Construction Companies: Establishing a Holistic Process which Addresses Current Barriers. Businesses, 3(1), 1-18. https://doi.org/10.3390/businesses3010001
Seo YoungMin, S. Y., Kim SungWon, K. S., Kİsİ, O., & Singh, V. P. (2015). Daily water level forecasting using wavelet decomposition and artificial intelligence techniques. Geliş tarihi gönderen https://www.cabidigitallibrary.org/doi/full/10.5555/20153039352
Sério, F., Pinto, F., & Wanzeller, C. (2020). Machine Learning techniques for energy consumption forecasting in Smart Cities scenarios. CAPSI 2020 Proceedings. Geliş tarihi gönderen https://aisel.aisnet.org/capsi2020/27
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios | IEEE Journals & Magazine | IEEE Xplore. Geliş tarihi 01 Temmuz 2024, gönderen https://ieeexplore.ieee.org/document/8972389
Shahbazi, H., Hakimi, M., Ulusi, H., Rahimi, B., & Quraishi, T. (2024). Exploring the Impact of Artificial Intelligence on Women’s Empowerment: A Comprehensive Survey. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(2), 108-120. https://doi.org/10.59110/edutrend.333
Shan, C., Wang, J., & Zhu, Y. (2023). The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model. Sustainability, 15(2), 1360. https://doi.org/10.3390/su15021360
Siboni, S., Sachidananda, V., Meidan, Y., Bohadana, M., Mathov, Y., Bhairav, S., … Elovici, Y. (2019). Security Testbed for Internet-of-Things Devices. IEEE Transactions on Reliability, 68(1), 23-44. https://doi.org/10.1109/TR.2018.2864536
Singh, R., & Kumar, S. (2024). The effect of artificial intelligence on economic growth. International Journal of Research in Management, 6(1), 414-420. https://doi.org/10.33545/26648792.2024.v6.i1e.171
Starikov, E., Evseeva, M., & Tkachenko, I. (2021). Digital Technologies in the Smart Production Management System. SHS Web of Conferences, 93, 01024. https://doi.org/10.1051/shsconf/20219301024
Stefanov, D. H., Bien, Z., & Bang, W.-C. (2004). The smart house for older persons and persons with physical disabilities: Structure, technology arrangements, and perspectives. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12(2), 228-250. https://doi.org/10.1109/TNSRE.2004.828423
Sunthonkanokpong, W., & Murphy, E. (2019). Quality, Equity, Inclusion and Lifelong Learning in Pre-service Teacher Education. Sciendo. https://doi.org/10.2478/jtes-2019-0019
Tang, Y. (2024). A Statistical Study Based on the Top 50 Blockchain Companies Analyzing the Current Development of Blockchain Applications. Highlights in Business, Economics and Management, 24, 622-629. https://doi.org/10.54097/fj7ahk37
Thomas, R., Hsu, A., & Weinfurter, A. (2021). Sustainable and inclusive – Evaluating urban sustainability indicators’ suitability for measuring progress towards SDG-11. Environment and Planning B: Urban Analytics and City Science, 48(8), 2346-2362. https://doi.org/10.1177/2399808320975404
Tősér, Z., & Lőrincz, A. (2015). The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification. Içinde J. Bieger, B. Goertzel, & A. Potapov (Ed.), Artificial General Intelligence (ss. 373-383). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-21365-1_38
Upadhyay, P., Matharu, G., & Garg, N. (2015). Modeling Agility in Internet of Things (IoT) Architecture | SpringerLink. Geliş tarihi 01 Temmuz 2024, gönderen https://link.springer.com/chapter/10.1007/978-81-322-2247-7_79
van Griethuysen, J. J. M., Fedorov, A., Parmar, C., Hosny, A., Aucoin, N., Narayan, V., … Aerts, H. J. W. L. (2017). Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Research, 77(21), e104-e107. https://doi.org/10.1158/0008-5472.CAN-17-0339
Vila, S. F., Miotto, G., & Rodríguez, J. R. (2021). Cultural Sustainability and the SDGs: Strategies and Priorities in the European Union Countries. European Journal of Sustainable Development, 10(2), 73-73. https://doi.org/10.14207/ejsd.2021.v10n2p73
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … Nerini, F. (2019). The role of artificial intelligence in achieving the Sustainable Development Goals.
Visser, C., & Hanich, Q. A. (2018). How blockchain is strengthening tuna traceability to combat illegal fishing. Geliş tarihi gönderen https://ro.uow.edu.au/lhapapers/3359/
Walter, C., Riley, I., He, X., Robards, E., & Gamble, R. (2017). Toward Predicting Secure Environments for Wearable Devices. Geliş tarihi gönderen http://hdl.handle.net/10125/41321
Wambsganss, T., Söllner, M., & Leimeister, J. M. (2020). Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills [SSRN Scholarly Paper]. Rochester, NY. Geliş tarihi gönderen https://papers.ssrn.com/abstract=3911888
Wang, Y. (2022). The impacts of improvements in the unified economic and environmental efficiency of transportation infrastructure on industrial structure transformation and upgrade from the perspective of resource factors. PLOS ONE, 17(12), e0278722. https://doi.org/10.1371/journal.pone.0278722
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001
Weerasinghe, T., Gunarathne, N., & Samudrage, D. N. (2024). Sustainable development goals disclosures: Evidence from Sri Lanka. Corporate Social Responsibility and Environmental Management, 31(2), 993-1010. https://doi.org/10.1002/csr.2614
Wendling, L. A., Huovila, A., zu Castell-Rüdenhausen, M., Hukkalainen, M., & Airaksinen, M. (2018). Benchmarking Nature-Based Solution and Smart City Assessment Schemes Against the Sustainable Development Goal Indicator Framework. Frontiers in Environmental Science, 6. https://doi.org/10.3389/fenvs.2018.00069
Wright, C. Y., Godfrey, L., Armiento, G., Haywood, L. K., Inglesi-Lotz, R., Lyne, K., & Schwerdtle, P. N. (2019). Circular economy and environmental health in low- and middle-income countries. Globalization and Health, 15(1), 65. https://doi.org/10.1186/s12992-019-0501-y
Wu, S.-J., Hsu, C.-T., & Chang, C.-H. (2021). Stochastic modeling for estimating real-time inundation depths at roadside IoT sensors using the ANN-derived model. Water, 13(21), 3128.
Xiaojing, Z., & Yuanguai, L. (2012). Zigbee implementation in intelligent agriculture based on internet of things. 2nd International Conference on Electronic & Mechanical Engineering and Information Technology, 1842-1846. Atlantis Press. Geliş tarihi gönderen https://www.atlantis-press.com/proceedings/emeit-12/3626
Yang, X., & Han, Q. (2024). Nonlinear effects of enterprise digital transformation on environmental, social and governance (ESG) performance: Evidence from China. Sustainability Accounting, Management and Policy Journal, 15(2), 355-381. https://doi.org/10.1108/SAMPJ-08-2023-0553
Yerlikaya, B. A., Ömezli, S., & Aydoğan, N. (2020). Climate Change Forecasting and Modeling for the Year of 2050. Içinde S. Fahad, M. Hasanuzzaman, M. Alam, H. Ullah, M. Saeed, I. Ali Khan, & M. Adnan (Ed.), Environment, Climate, Plant and Vegetation Growth (ss. 109-122). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-49732-3_5
Yount, K. M., Crandall, A., & Cheong, Y. F. (2018). Women’s Age at First Marriage and Long-Term Economic Empowerment in Egypt. World Development, 102, 124-134. https://doi.org/10.1016/j.worlddev.2017.09.013
Zakaria, N. H., Hassan, R., Othman, M. R., Zakaria, Z., & Kasim, S. (2017). A Review on Classification of the Urban Poverty Using the Artificial Intelligence Method. Journal of Asian Scientific Research, 7(11), 450-458. https://doi.org/10.18488/journal.2.2017.711.450.458
Zhailauov, Y. B., Przhedetskaya, N. V., & Bespyatykh, V. I. (2023). Responsible Production and Consumption in Agriculture 4.0 Based on Deep Learning for Sustainable Development. Içinde E. G. Popkova & B. S. Sergi (Ed.), Food Security in the Economy of the Future (ss. 139-146). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-23511-5_15
Zhang, C., Sun, Z., Xing, Q., Sun, J., Xia, T., & Yu, H. (2021). Localizing Indicators of SDG11 for an Integrated Assessment of Urban Sustainability—A Case Study of Hainan Province. Sustainability, 13, 11092. https://doi.org/10.3390/su131911092
Zhang, H. (2023). Artificial intelligence in healthcare: Opportunities and challenges. Theoretical and Natural Science, 21, 130-134. https://doi.org/10.54254/2753-8818/21/20230845
Zhang, H., Zhang, Z., Jing, J., & Hu, H. (2015, Ekim). Study on the Architecture about Equipment Support Information System based on Cloud Computing. 733-738. Atlantis Press. https://doi.org/10.2991/iwmecs-15.2015.146
Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., … Pan, Y. (2023). Intelligent Computing: The Latest Advances, Challenges, and Future. Intelligent Computing, 2, 0006. https://doi.org/10.34133/icomputing.0006
Zhu, T., Yu, J., & Du, B. (2012). RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information. 2012 International Conference on Connected Vehicles and Expo (ICCVE), 282-283. https://doi.org/10.1109/ICCVE.2012.61
Referanslar
Adhikari, D. R., & Shah, B. B. (2021). The state of the art in the incorporation of sustainable development goals in Nepalese Universities. International Journal of Sustainability in Higher Education, 22(6), 1373-1401. https://doi.org/10.1108/IJSHE-11-2020-0460
Afolaranmi, A. O., & Amodu, A. A. (2022). Critical review of sustainable peace, mediative dialogue and social media. CRITICAL REVIEW, 5(3), 28-43.
Aiken, E., Bellue, S., Karlan, D., Udry, C., & Blumenstock, J. E. (2022). Machine learning and phone data can improve targeting of humanitarian aid. Nature, 603(7903), 864-870. https://doi.org/10.1038/s41586-022-04484-9
Albreem, M. A., Sheikh, A. M., Alsharif, M. H., Jusoh, M., & Mohd Yasin, M. N. (2021). Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges. IEEE Access, 9, 38833-38858. https://doi.org/10.1109/ACCESS.2021.3061697
Ametepey, S. O., Aigbavboa, C., Thwala, W. D., & Addy, H. (2024). The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study. Sustainability, 16(9), 3858. https://doi.org/10.3390/su16093858
Anderson, E., McLoughlin, L., Liarokapis, F., Peters, C., Petridis, P., & de Freitas, S. (2010). Developing serious games for cultural heritage: A state-of-the-art Review. Virtual Reality, 14, 255-275. https://doi.org/10.1007/s10055-010-0177-3
Azarov, V. N., Chekmarev, A. V., & Zueva, O. M. (2022). Digital Transformation of Education. 2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), 323-327. https://doi.org/10.1109/ITQMIS56172.2022.9976686
Baccelli, E., Doerr, J., Kikuchi, S., Padilla, F. A., Schleiser, K., & Thomas, I. (2018). Scripting Over-The-Air: Towards Containers on Low-end Devices in the Internet of Things. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 504-507. https://doi.org/10.1109/PERCOMW.2018.8480277
BEDNARČÍKOVÁ, D., & ZAHRADNÍK, P. (2022). INTERNET OF THINGS AND ITS USE IN BUSINESS ENTITIES OF THE WORLD. Geliş tarihi 01 Temmuz 2024, gönderen University of Economics in Bratislava website: https://journals.euba.sk/m/edamba/content/2021/internet-of-things-and-its-use-in-business-entities-of-the-world
Biota, I., Dosil-Santamaria, M., Mondragon, N. I., & Ozamiz-Etxebarria, N. (2022). Analyzing University Students’ Perceptions Regarding Mainstream Pornography and Its Link to SDG5. International Journal of Environmental Research and Public Health, 19(13), 8055. https://doi.org/10.3390/ijerph19138055
Bohanec, M., Borštnar, M. K., & Robnik-Šikonja, M. (2016). Integration of Machine Learning Insights into Organizational Learning: A Case of B2B Sales Forecasting. Içinde F. D’Ascenzo, M. Magni, A. Lazazzara, & S. Za (Ed.), Blurring the Boundaries Through Digital Innovation (ss. 71-85). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-38974-5_7
Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V., & Kalai, A. (2016). Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.
Bououd, I., & Fafi, R. (t.y.). Learning Evolution: A proposal of Serious Game that automatically corrects dictation.
Carter, S., van Rees, C. B., Hand, B. K., Muhlfeld, C. C., Luikart, G., & Kimball, J. S. (2021). Testing a generalizable machine learning workflow for aquatic invasive species on rainbow trout (Oncorhynchus mykiss) in Northwest Montana. Frontiers in big Data, 4, 734990.
Cha, Y., Shin, J., Go, B., Lee, D.-S., Kim, Y., Kim, T., & Park, Y.-S. (2021). An interpretable machine learning method for supporting ecosystem management: Application to species distribution models of freshwater macroinvertebrates. Journal of Environmental Management, 291, 112719.
Chen, H., Mckeever, S., & Delany, S. (2017). Harnessing the Power of Text Mining for the Detection of Abusive Content in Social Media. https://doi.org/10.1007/978-3-319-46562-3_12
Chen, T.-H., Lee, M.-H., Hsia, I.-W., Hsu, C.-H., Yao, M.-H., & Chang, F.-J. (2022). Develop a Smart Microclimate Control System for Greenhouses through System Dynamics and Machine Learning Techniques. Water, 14(23), 3941.
Chen, X. (2022). Research on the Application of AI Artificial Intelligence Technology in Intelligent Buildings. Academic Journal of Architecture and Geotechnical Engineering, 4(3). https://doi.org/10.25236/AJAGE.2022.040306
Chien, F., Wang, C.-N., Chau, K. Y., Nguyen, V. T., & Nguyen, V. T. (2021). Sustainability in the Business Sector: A Fuzzy Multicriteria Decision-Making Model for Financial Leasing Company Selection of the Vietnamese SMEs. SAGE Open, 11(3), 21582440211036080. https://doi.org/10.1177/21582440211036080
Choi, Y.-J., Kang, H.-J., & Lee, I.-G. (2019). Scalable and Secure Internet of Things Connectivity. Electronics, 8(7), 752. https://doi.org/10.3390/electronics8070752
Chu, K.-S., Oh, C.-H., Choi, J.-R., & Kim, B.-S. (2022). Estimation of threshold rainfall in ungauged areas using machine learning. Water, 14(6), 859.
Cirianni, F. M. M., Comi, A., & Quattrone, A. (2023). Mobility Control Centre and Artificial Intelligence for Sustainable Urban Districts. Information, 14(10), 581. https://doi.org/10.3390/info14100581
Coenen, J., Glass, LM., & Sanderink, L. (2022). Two degrees and the SDGs: A network analysis of the interlinkages between transnational climate actions and the Sustainable Development Goals | Sustainability Science. Geliş tarihi 09 Temmuz 2024, gönderen https://link.springer.com/article/10.1007/s11625-021-01007-9
Dewitte, S., Cornelis, J. P., Müller, R., & Munteanu, A. (2021). Artificial intelligence revolutionises weather forecast, climate monitoring and decadal prediction. Remote Sensing, 13(16), 3209.
Djevojić, C., & Vitasović, Z. (2023). DIGITAL TRANSFORMATION OF BUSINESS IN THE HOTEL INDUSTRY AND ITS IMPACT ON SUSTAINABLE DEVELOPMENT. DIEM : Dubrovnik International Economic Meeting, 8(1), 46-56. https://doi.org/10.17818/DIEM/2023/1.6
Dolgopolov, A. V., Kazantsev, P. A., Bezuhliy, N. N., Dolgopolov, A. V., Kazantsev, P. A., & Bezuhliy, N. N. (2017). Ship detection in images obtained from the unmanned aerial vehicle (UAV). Indian J. Sci. Technol, 9(46), 1-7.
Dressel, J., & Farid, H. (2018). The accuracy, fairness, and limits of predicting recidivism. Science Advances, 4(1), eaao5580. https://doi.org/10.1126/sciadv.aao5580
Dursun-Özkanca, O. (2021). The Nexus Between Security Sector Governance/Reform and Sustainable Development Goal-16. Içinde Ubiquity Press. Ubiquity Press. https://doi.org/10.5334/bcm
Ebrahimi, M., Nunamaker Jr., J. F., & Chen, H. (2020). Semi-Supervised Cyber Threat Identification in Dark Net Markets: A Transductive and Deep Learning Approach. Journal of Management Information Systems, 37(3), 694-722. https://doi.org/10.1080/07421222.2020.1790186
Evanschitzky, H., Bartikowski, B., Baines, T., Blut, M., Brock, C., Kleinlercher, K., … Wünderlich, N. V. (2020). Digital Disruption in Retailing and Beyond. SMR - Journal of Service Management Research, 4(4), 187-204. https://doi.org/10.15358/2511-8676-2020-4-187
Færøy, F. L., Yamin, M. M., Shukla, A., & Katt, B. (2023). Automatic Verification and Execution of Cyber Attack on IoT Devices. Sensors, 23(2), 733. https://doi.org/10.3390/s23020733
Fahmy, S., Deraman, A., Puteh, M., Nasir, A., Roslina, W., & Haslinda, N. (2022). An Analysis of Digital Talent in Academic Publications Reflection on Malaysia’s Digital Transformation Strategies. International Journal of Integrated Engineering, 14(3), 184-192.
Feng, Y., Qiu, L., & Sun, B. (2021). A measurement framework of crowd intelligence. International Journal of Crowd Science, 5(1), 81-91. https://doi.org/10.1108/IJCS-09-2020-0015
Fraga-Lamas, P., Lopes, S. I., & Fernández-Caramés, T. M. (2021). Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case. Sensors, 21(17), 5745. https://doi.org/10.3390/s21175745
Garcia-Garin, O., Monleón-Getino, T., López-Brosa, P., Borrell, A., Aguilar, A., Borja-Robalino, R., … Vighi, M. (2021). Automatic detection and quantification of floating marine macro-litter in aerial images: Introducing a novel deep learning approach connected to a web application in R. Environmental Pollution, 273, 116490.
Ghobadi, F., & Kang, D. (2022). Multi-step ahead probabilistic forecasting of daily streamflow using Bayesian deep learning: A multiple case study. Water, 14(22), 3672.
Ghobakhloo, M., & Iranmanesh, M. (2021). Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. Journal of Manufacturing Technology Management, 32(8), 1533-1556. https://doi.org/10.1108/JMTM-11-2020-0455
Giuliani, G., Mazzetti, P., Santoro, M., Nativi, S., Van Bemmelen, J., Colangeli, G., & Lehmann, A. (2020). Knowledge generation using satellite earth observations to support sustainable development goals (SDG): A use case on Land degradation. International Journal of Applied Earth Observation and Geoinformation, 88, 102068.
Good Health and Well-Being | Taylor & Francis eBooks, Reference Works. (t.y.). Geliş tarihi 11 Temmuz 2024, gönderen Sustainable Development Goals Online website: https://www.taylorfrancis.com/collections/good-health-well-being/aabe2fa7-37de-489a-b905-6bc2b94b9e75?context=sdgo
Goonatilleke, S. T., & Hettige, B. (2022). Past, Present and Future Trends in Multi-Agent System Technology | IIETA. (55), 723-729. https://doi.org/10.18280/jesa.550604
Graesser, A. C., Lu, S., Jackson, G. T., Mitchell, H. H., Ventura, M., Olney, A., & Louwerse, M. M. (2004). AutoTutor: A tutor with dialogue in natural language. Behavior Research Methods, Instruments, & Computers, 36(2), 180-192. https://doi.org/10.3758/BF03195563
Gurnani, B., Kaur, K., & Morya, A. K. (2023). Adoption, implementation, definitions, and future of blockchain technology in ophthalmology. Indian Journal of Ophthalmology, 71(3), 1025. https://doi.org/10.4103/ijo.IJO_1802_22
Herath, D. L., Abeyratne, U. R., & Hukins, C. (2015). Hidden Markov modelling of intra-snore episode behavior of acoustic characteristics of obstructive sleep apnea patients. Physiological measurement, 36(12), 2379.
Hernández-Bedolla, J., Solera, A., Paredes-Arquiola, J., Sanchez-Quispe, S. T., & Domínguez-Sánchez, C. (2022). A Continuous Multisite Multivariate Generator for Daily Temperature Conditioned by Precipitation Occurrence. Water, 14(21), 3494.
Herrenkind, B., Brendel, A., Lichtenberg, S., & Kolbe, L. (2019). Computing Incentives for User-Based Relocation in Carsharing. Wirtschaftsinformatik 2019 Proceedings. Geliş tarihi gönderen https://aisel.aisnet.org/wi2019/track12/papers/3
Ho, S. Y., Choi, K. W. S., & Yang, F. F. (2019). Harnessing aspect-based sentiment analysis: How are tweets associated with forecast accuracy? Journal of the Association for Information Systems, 20(8), 2.
Hu, J., Li, D., Duan, Q., Han, Y., Chen, G., & Si, X. (2012). Fish species classification by color, texture and multi-class support vector machine using computer vision. Computers and electronics in agriculture, 88, 133-140.
Huang, A., & Chang, F.-J. (2021). Using a self-organizing map to explore local weather features for smart urban agriculture in northern Taiwan. Water, 13(23), 3457.
Hurt, K., Walker, R., Campbell, J., & Egede, L. (2016). mHealth Interventions in Low and Middle-Income Countries: A Systematic Review. Global Journal of Health Science, 8, 183. https://doi.org/10.5539/gjhs.v8n9p183
Igeltjørn, A., & Habib, L. (2020). Homebased Telework as a Tool for Inclusion? A Literature Review of Telework, Disabilities and Work-Life Balance. Içinde M. Antona & C. Stephanidis (Ed.), Universal Access in Human-Computer Interaction. Applications and Practice (ss. 420-436). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-49108-6_30
Isabelle, D. A., & Westerlund, M. (2022). A review and categorization of artificial intelligence-based opportunities in wildlife, ocean and land conservation. Sustainability, 14(4), 1979.
Iyer, S. S. (2022). Adopting a Student Centric Education Blockchain System. International Journal of Information and Communication Sciences, 7(3), 48-65. https://doi.org/10.11648/j.ijics.20220703.11
Jain, R. K., Smith, K. M., Culligan, P. J., & Taylor, J. E. (2014). Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy. Applied Energy, 123, 168-178. https://doi.org/10.1016/j.apenergy.2014.02.057
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790-794. https://doi.org/10.1126/science.aaf7894
Jensen, T., Seerup Hass, F., Seam Akbar, M., Holm Petersen, P., & Jokar Arsanjani, J. (2020). Employing machine learning for detection of invasive species using sentinel-2 and aviris data: The case of Kudzu in the United States. Sustainability, 12(9), 3544.
Jones, P., Comfort, D., & Hillier, D. (2018). The sustainable development goals and retailing. World Review of Entrepreneurship, Management and Sustainable Development, 14(5), 608. https://doi.org/10.1504/WREMSD.2018.094335
Júnior, A. C. D. S., Munoz, R., Quezada, M. D. L. Á., Neto, A. V. L., Hassan, M. M., & De Albuquerque, V. H. C. (2021). Internet of water things: A remote raw water monitoring and control system. IEEE Access, 9, 35790-35800.
Kennerly, M., & Pfister, D. S. (2018). Ancient Rhetorics and Digital Networks. University of Alabama Press.
Kessler, R., Warner, C., Ivany, C., Petukhova, M., Rose, S., Bromet, E., … Ursano, R. (2015). Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). JAMA psychiatry, 72, 49-57. https://doi.org/10.1001/jamapsychiatry.2014.1754
Kuhlmann, E., Lotta, G., Fernandez, M., Herten-Crabb, A., Fehr, L. M., Maple, J.-L., … Willis, K. (2022, Eylül 15). SDG5 ‘Gender Equality’ and the COVID-19 pandemic: A rapid assessment of health system responses in selected upper-middle and high-income countries (s. 2022.09.09.22279765). s. 2022.09.09.22279765. medRxiv. https://doi.org/10.1101/2022.09.09.22279765
Kumar, N., Venugopal, D., Qiu, L., & Kumar, S. (2018). Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning. Journal of Management Information Systems, 35(1), 350-380. https://doi.org/10.1080/07421222.2018.1440758
Kusuma, C. S. D., Pradhanawati, A., Ngatno, N., & Dewi, R. S. (2022, Eylül 20). Developing Economic and Environment on Innovation Practice of Sustainable Product in MSME Temanggung Arabica Coffee. Program adı: Proceedings of the 6th International Conference on Social and Political Enquiries, ICISPE 2021, 14-15 September 2021, Semarang, Indonesia. Geliş tarihi gönderen https://eudl.eu/doi/10.4108/eai.14-9-2021.2321362
Kwok, R. (2019). AI empowers conservation biology. Nature, 567(7746), 133-134.
Lal, A., & Umer, F. (2024). Navigating challenges and opportunities: AI’s contribution to Pakistan’s sustainable development goals agenda – a narrative review. Journal of the Pakistan Medical Association, 74(4), 49-S. https://doi.org/10.47391/JPMA.AKU-9S-08
Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., De Jong, E. E. C., Van Timmeren, J., … Walsh, S. (2017). Radiomics: The bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology, 14(12), 749-762. https://doi.org/10.1038/nrclinonc.2017.141
Lanza, J., Sánchez, L., Gutiérrez, V., Galache, J. A., Santana, J. R., Sotres, P., & Muñoz, L. (2016). Energies | Free Full-Text | Smart City Services over a Future Internet Platform Based on Internet of Things and Cloud: The Smart Parking Case. Geliş tarihi 01 Temmuz 2024, gönderen https://www.mdpi.com/1996-1073/9/9/719
Li, C., Dong, Z., Chen, G., Zhou, B., Zhang, J., & Yu, X. (2021). Data-driven planning of electric vehicle charging infrastructure: A case study of Sydney, Australia. IEEE Transactions on Smart Grid, 12(4), 3289-3304.
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., … Xia, J. (2020). Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT. Radiology, 200905. https://doi.org/10.1148/radiol.2020200905
Li, W., Chen, H., & Nunamaker Jr., J. F. (2016). Identifying and Profiling Key Sellers in Cyber Carding Community: AZSecure Text Mining System. Journal of Management Information Systems, 33(4), 1059-1086. https://doi.org/10.1080/07421222.2016.1267528
Li, X., Peng, L., Yao, X., Cui, S., You, C., & Chi, T. (2017). Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation. Environmental pollution (Barking, Essex : 1987), 231, 997-1004. https://doi.org/10.1016/j.envpol.2017.08.114
Lieber, D., Stolpe, M., Konrad, B., Deuse, J., & Morik, K. (2013). Quality prediction in interlinked manufacturing processes based on supervised & unsupervised machine learning. Procedia Cirp, 7, 193-198.
Liu, N., Shapira, P., & Yue, X. (2021). Tracking developments in artificial intelligence research: Constructing and applying a new search strategy. Scientometrics, 126(4), 3153-3192. https://doi.org/10.1007/s11192-021-03868-4
Liu, Q. (2022). Analysis of Collaborative Driving Effect of Artificial Intelligence on Knowledge Innovation Management. Geliş tarihi 09 Temmuz 2024, gönderen https://onlinelibrary.wiley.com/doi/10.1155/2022/8223724
Liu, Y., Pant, G., & Sheng, O. R. L. (2020a). Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills. Information Systems Research, 31(4), 1443-1466. https://doi.org/10.1287/isre.2020.0954
Liu, Y., Pant, G., & Sheng, O. R. L. (2020b). Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills. Information Systems Research, 31(4), 1443-1466. https://doi.org/10.1287/isre.2020.0954
Loukis, E. N., Arvanitis, S., & Alexopoulos, C. (2018). A Methodology for Economic Crisis Policy Analytics. Geliş tarihi gönderen https://aisel.aisnet.org/mcis2018/42/
Lu, R., Hong, S. H., & Yu, M. (2019). Demand response for home energy management using reinforcement learning and artificial neural network. IEEE Transactions on Smart Grid, 10(6), 6629-6639.
Mantlana, K. B., & Maoela, M. A. (2020). Mapping the interlinkages between sustainable development goal 9 and other sustainable development goals: A preliminary exploration. Business Strategy & Development, 3(3), 344-355. https://doi.org/10.1002/bsd2.100
Marantos, C., Lamprakos, C., Siozios, K., & Soudris, D. (2019). Towards Plug&Play Smart Thermostats for Building’s Heating/Cooling Control. İçinde K. Siozios, D. Anagnostos, D. Soudris, & E. Kosmatopoulos (Ed.), IoT for Smart Grids (ss. 183-207). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-03640-9_10
Mari, V., Spolverato, G., & Ferrari, L. (2022). The potential of artificial intelligence as an equalizer of gender disparity in surgical training and education. Artificial Intelligence Surgery, 2, 122-131. https://doi.org/10.20517/ais.2022.12
Marji, N., Kohout, M., Chen, L., Isik, G. E., & Kumar, A. R. (2024). AI-enabled transition to smart European cities. Acta Polytechnica CTU Proceedings, 46, 85-93. https://doi.org/10.14311/APP.2024.46.0085
Marquard, E., Bartke, S., Gifreu, J., Humer, A., Jonkman, A., Jürgenson, E., … Bovet, J. (2020). Land Consumption and Land Take: Enhancing Conceptual Clarity for Evaluating Spatial Governance in the EU Context. Sustainability, 12, 8269. https://doi.org/10.3390/su12198269
Masolele, R. N., De Sy, V., Herold, M., Marcos, D., Verbesselt, J., Gieseke, F., … Martius, C. (2021). Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series. Remote Sensing of Environment, 264, 112600.
Mbiti, I., & Weil, D. N. (2016). 7. Mobile Banking: The Impact of M- Pesa in Kenya. Içinde 7. Mobile Banking: The Impact of M- Pesa in Kenya (ss. 247-294). University of Chicago Press. https://doi.org/10.7208/9780226315867-009
McKinney, S., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., … Shetty, S. (2020). Addendum: International evaluation of an AI system for breast cancer screening. Nature, 586, E19-E19. https://doi.org/10.1038/s41586-020-2679-9
Mergel, I., Kattel, R., Lember, V., & McBride, K. (2018). Citizen-oriented digital transformation in the public sector. Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, 1-3. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3209281.3209294
Mhlanga, D. (2020). Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion. International Journal of Financial Studies, 8, 45. https://doi.org/10.3390/ijfs8030045
Mhlanga, D. (2021). The Fourth Industrial Revolution and COVID-19 Pandemic in South Africa: The Opportunities and Challenges of Introducing Blended Learning in Education. Journal of African Education, 2, 15-42. https://doi.org/10.31920/2633-2930/2021/v2n2a1
Mhlanga, D. (2022). Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution. Sustainability, 14(13), 7804. https://doi.org/10.3390/su14137804
Milicevic, N., Kalas, B., Djokic, N., Malcic, B., & Djokic, I. (2024). Students’ Intention toward Artificial Intelligence in the Context of Digital Transformation. Sustainability, 16(9), 3554. https://doi.org/10.3390/su16093554
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516. https://doi.org/10.1016/j.adhoc.2012.02.016
Mohammed, marwa S., & Hashim, A. N. (2023). Blockchain technology, methodology behind it, and its most extensively used encryption techniques. Al-Salam Journal for Engineering and Technology, 2(2), 140-151. https://doi.org/10.55145/ajest.2023.02.02.017
Morrison, J., & Malik, S. M. M. R. (2023). Population health trends and disease profile in Somalia 1990–2019, and projection to 2030: Will the country achieve sustainable development goals 2 and 3? BMC Public Health, 23(1), 66. https://doi.org/10.1186/s12889-022-14960-6
Morse, H. F., AlGhamdi, M. S., Almusaied, H. M., Alsubaie, S. A., Almarri, D. M., Alqahtani, M. A., … Balharith, T. (2021). The Smart Heater Based on Internet of Things. Içinde A. E. Hassanien, A. Haqiq, P. J. Tonellato, L. Bellatreche, S. Goundar, A. T. Azar, … D. Bouzidi (Ed.), Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (ss. 145-153). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-76346-6_14
Mukombwe, J. S., Toit, A. du, & Hendriks, S. L. (2024). Chapter 36: Sustainable Development Goal 16: Peace, justice and strong institutions. Geliş tarihi gönderen https://www.elgaronline.com/edcollchap/book/9781839105449/book-part-9781839105449-41.xml
Nations, U. (2017, Kasım 30). Sustainable Development Goal 1: End poverty in all its forms everywhere [Text]. https://doi.org/10.18356/99118340-en
Nations, U. (2021). The second world ocean assessment. United Nations New York, USA.
Newlands, N. K., & Ghahari, A. (t.y.). Deep Learning for Improved Agricultural Risk Management.
Nguyen, Q. V., Wiedemann, S. G., Simmons, A., & Clarke, S. J. (2021). The environmental consequences of a change in Australian cotton lint production. The International Journal of Life Cycle Assessment, 26(12), 2321-2338.
Novikov, S. V., & Sazonov, A. A. (2019). Application of the open operating system ‘MindSphere’ in digital transformation of high-tech enterprises. Economics Journal, 1(1), 20-26. https://doi.org/10.46502/issn.2711-2454/2019.1.03
Ofori, M., & El-Gayar, O. (2020). Towards Deep Learning for Weed Detection: Deep Convolutional Neural Network Architectures for Plant Seedling Classification. Research & Publications. Geliş tarihi gönderen https://scholar.dsu.edu/bispapers/219
Okulich-Kazarin, V., Artyukhov, A., Skowron, L., Artyukhova, N., & Wołowiec, T. (2024). Will AI Become a Threat to Higher Education Sustainability? A Study of Students’ Views. Sustainability, 16, 4596. https://doi.org/10.3390/su16114596
O’Leary, D. E. (2019). Some issues in blockchain for accounting and the supply chain, with an application of distributed databases to virtual organizations. Geliş tarihi 30 Haziran 2024, gönderen https://onlinelibrary.wiley.com/doi/10.1002/isaf.1457
Ølnes, S., Ubacht, J., & Janssen, M. (2017). Blockchain in government: Benefits and implications of distributed ledger technology for information sharing—ScienceDirect. Geliş tarihi 30 Haziran 2024, gönderen https://www.sciencedirect.com/science/article/abs/pii/S0740624X17303155?via%3Dihub
Onyeaka, H., Tamasiga, P., Nwauzoma, U. M., Miri, T., Juliet, U. C., Nwaiwu, O., & Akinsemolu, A. A. (2023). Using Artificial Intelligence to Tackle Food Waste and Enhance the Circular Economy: Maximising Resource Efficiency and Minimising Environmental Impact: A Review. Sustainability, 15(13), 10482. https://doi.org/10.3390/su151310482
Opesemowo, O. A. G., & Adekomaya, V. (2024). Harnessing Artificial Intelligence for Advancing Sustainable Development Goals in South Africa’s Higher Education System: A Qualitative Study. International Journal of Learning, Teaching and Educational Research, 23(3). Geliş tarihi gönderen https://ijlter.org/index.php/ijlter/article/view/9733
Pakdaman, M., Babaeian, I., & Bouwer, L. M. (2022). Improved monthly and seasonal multi-model ensemble precipitation forecasts in southwest asia using machine learning algorithms. Water, 14(17), 2632.
Panchal, A. V., Patel, S. C., Bagyalakshmi, K., Kumar, P., Khan, I. R., & Soni, M. (2023). Image-based Plant Diseases Detection using Deep Learning. Materials Today: Proceedings, 80, 3500-3506. https://doi.org/10.1016/j.matpr.2021.07.281
Papadopoulou, P., Kolomvatsos, K., & Hadjiefthymiades, S. (2019). Internet of Things Business Models: The RAWFIE Case. Içinde I. O. Pappas, P. Mikalef, Y. K. Dwivedi, L. Jaccheri, J. Krogstie, & M. Mäntymäki (Ed.), Digital Transformation for a Sustainable Society in the 21st Century (ss. 278-290). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29374-1_23
Peng, Y., Ahmad, S. F., Ahmad, A. Y. A. B., Al Shaikh, M. S., Daoud, M. K., & Alhamdi, F. M. H. (2023). Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals. Sustainability, 15(19), 14165. https://doi.org/10.3390/su151914165
Pestryakov, A., Sbrodova, N., Titovets, A., & Pysova, P. (2021). Sustainable development of housing construction in a major city due to the standard-class segment. E3S Web of Conferences, 296, 03010. https://doi.org/10.1051/e3sconf/202129603010
Peters, K., & Peters, L. (2021). Terra incognita: The contribution of disaster risk reduction in unpacking the sustainability–peace nexus. Sustainability Science, 16. https://doi.org/10.1007/s11625-021-00944-9
Praveenkumar, T., Saimurugan, M., Krishnakumar, P., & Ramachandran, K. I. (2014). Fault diagnosis of automobile gearbox based on machine learning techniques. Procedia Engineering, 97, 2092-2098.
Probst, W. N. (2020). How emerging data technologies can increase trust and transparency in fisheries. ICES Journal of Marine Science, 77(4), 1286-1294.
Rathore, D. B. (2021). Fashion Transformation 4.0: Beyond Digitalization & Marketing in Fashion Industry. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 54-59. https://doi.org/10.56614/eiprmj.v10i2.234
Rof, A., Bikfalvi, A., & Marquès, P. (2020). Digital Transformation for Business Model Innovation in Higher Education: Overcoming the Tensions. Sustainability, 12(12), 4980. https://doi.org/10.3390/su12124980
Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, 226-234.
Sachs, J., Kroll, C., Lafortune, G., Fuller, G., & Woelm, F. (2022). Sustainable Development Report 2022. Cambridge University Press.
Said, Z. M., & Zolkipli, M. F. (2022). Internet of Things (IoT): A Study of Security Issues and Challenges. International Journal of Recent Contributions from Engineering, Science & IT (iJES), 10(02), 16-31. https://doi.org/10.3991/ijes.v10i02.29301
Saini, F., Sharma, T., & Madan, S. (2022). A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future. Advanced Journal of Graduate Research, 11(1), 10-22. https://doi.org/10.21467/ajgr.11.1.10-22
Schnell, P., Haag, P., & Jünger, H. C. (2023). Implementation of Digital Technologies in Construction Companies: Establishing a Holistic Process which Addresses Current Barriers. Businesses, 3(1), 1-18. https://doi.org/10.3390/businesses3010001
Seo YoungMin, S. Y., Kim SungWon, K. S., Kİsİ, O., & Singh, V. P. (2015). Daily water level forecasting using wavelet decomposition and artificial intelligence techniques. Geliş tarihi gönderen https://www.cabidigitallibrary.org/doi/full/10.5555/20153039352
Sério, F., Pinto, F., & Wanzeller, C. (2020). Machine Learning techniques for energy consumption forecasting in Smart Cities scenarios. CAPSI 2020 Proceedings. Geliş tarihi gönderen https://aisel.aisnet.org/capsi2020/27
Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of Things (IoT) for Next-Generation Smart Systems: A Review of Current Challenges, Future Trends and Prospects for Emerging 5G-IoT Scenarios | IEEE Journals & Magazine | IEEE Xplore. Geliş tarihi 01 Temmuz 2024, gönderen https://ieeexplore.ieee.org/document/8972389
Shahbazi, H., Hakimi, M., Ulusi, H., Rahimi, B., & Quraishi, T. (2024). Exploring the Impact of Artificial Intelligence on Women’s Empowerment: A Comprehensive Survey. EDUTREND: Journal of Emerging Issues and Trends in Education, 1(2), 108-120. https://doi.org/10.59110/edutrend.333
Shan, C., Wang, J., & Zhu, Y. (2023). The Evolution of Artificial Intelligence in the Digital Economy: An Application of the Potential Dirichlet Allocation Model. Sustainability, 15(2), 1360. https://doi.org/10.3390/su15021360
Siboni, S., Sachidananda, V., Meidan, Y., Bohadana, M., Mathov, Y., Bhairav, S., … Elovici, Y. (2019). Security Testbed for Internet-of-Things Devices. IEEE Transactions on Reliability, 68(1), 23-44. https://doi.org/10.1109/TR.2018.2864536
Singh, R., & Kumar, S. (2024). The effect of artificial intelligence on economic growth. International Journal of Research in Management, 6(1), 414-420. https://doi.org/10.33545/26648792.2024.v6.i1e.171
Starikov, E., Evseeva, M., & Tkachenko, I. (2021). Digital Technologies in the Smart Production Management System. SHS Web of Conferences, 93, 01024. https://doi.org/10.1051/shsconf/20219301024
Stefanov, D. H., Bien, Z., & Bang, W.-C. (2004). The smart house for older persons and persons with physical disabilities: Structure, technology arrangements, and perspectives. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12(2), 228-250. https://doi.org/10.1109/TNSRE.2004.828423
Sunthonkanokpong, W., & Murphy, E. (2019). Quality, Equity, Inclusion and Lifelong Learning in Pre-service Teacher Education. Sciendo. https://doi.org/10.2478/jtes-2019-0019
Tang, Y. (2024). A Statistical Study Based on the Top 50 Blockchain Companies Analyzing the Current Development of Blockchain Applications. Highlights in Business, Economics and Management, 24, 622-629. https://doi.org/10.54097/fj7ahk37
Thomas, R., Hsu, A., & Weinfurter, A. (2021). Sustainable and inclusive – Evaluating urban sustainability indicators’ suitability for measuring progress towards SDG-11. Environment and Planning B: Urban Analytics and City Science, 48(8), 2346-2362. https://doi.org/10.1177/2399808320975404
Tősér, Z., & Lőrincz, A. (2015). The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification. Içinde J. Bieger, B. Goertzel, & A. Potapov (Ed.), Artificial General Intelligence (ss. 373-383). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-21365-1_38
Upadhyay, P., Matharu, G., & Garg, N. (2015). Modeling Agility in Internet of Things (IoT) Architecture | SpringerLink. Geliş tarihi 01 Temmuz 2024, gönderen https://link.springer.com/chapter/10.1007/978-81-322-2247-7_79
van Griethuysen, J. J. M., Fedorov, A., Parmar, C., Hosny, A., Aucoin, N., Narayan, V., … Aerts, H. J. W. L. (2017). Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Research, 77(21), e104-e107. https://doi.org/10.1158/0008-5472.CAN-17-0339
Vila, S. F., Miotto, G., & Rodríguez, J. R. (2021). Cultural Sustainability and the SDGs: Strategies and Priorities in the European Union Countries. European Journal of Sustainable Development, 10(2), 73-73. https://doi.org/10.14207/ejsd.2021.v10n2p73
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., … Nerini, F. (2019). The role of artificial intelligence in achieving the Sustainable Development Goals.
Visser, C., & Hanich, Q. A. (2018). How blockchain is strengthening tuna traceability to combat illegal fishing. Geliş tarihi gönderen https://ro.uow.edu.au/lhapapers/3359/
Walter, C., Riley, I., He, X., Robards, E., & Gamble, R. (2017). Toward Predicting Secure Environments for Wearable Devices. Geliş tarihi gönderen http://hdl.handle.net/10125/41321
Wambsganss, T., Söllner, M., & Leimeister, J. M. (2020). Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills [SSRN Scholarly Paper]. Rochester, NY. Geliş tarihi gönderen https://papers.ssrn.com/abstract=3911888
Wang, Y. (2022). The impacts of improvements in the unified economic and environmental efficiency of transportation infrastructure on industrial structure transformation and upgrade from the perspective of resource factors. PLOS ONE, 17(12), e0278722. https://doi.org/10.1371/journal.pone.0278722
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001
Weerasinghe, T., Gunarathne, N., & Samudrage, D. N. (2024). Sustainable development goals disclosures: Evidence from Sri Lanka. Corporate Social Responsibility and Environmental Management, 31(2), 993-1010. https://doi.org/10.1002/csr.2614
Wendling, L. A., Huovila, A., zu Castell-Rüdenhausen, M., Hukkalainen, M., & Airaksinen, M. (2018). Benchmarking Nature-Based Solution and Smart City Assessment Schemes Against the Sustainable Development Goal Indicator Framework. Frontiers in Environmental Science, 6. https://doi.org/10.3389/fenvs.2018.00069
Wright, C. Y., Godfrey, L., Armiento, G., Haywood, L. K., Inglesi-Lotz, R., Lyne, K., & Schwerdtle, P. N. (2019). Circular economy and environmental health in low- and middle-income countries. Globalization and Health, 15(1), 65. https://doi.org/10.1186/s12992-019-0501-y
Wu, S.-J., Hsu, C.-T., & Chang, C.-H. (2021). Stochastic modeling for estimating real-time inundation depths at roadside IoT sensors using the ANN-derived model. Water, 13(21), 3128.
Xiaojing, Z., & Yuanguai, L. (2012). Zigbee implementation in intelligent agriculture based on internet of things. 2nd International Conference on Electronic & Mechanical Engineering and Information Technology, 1842-1846. Atlantis Press. Geliş tarihi gönderen https://www.atlantis-press.com/proceedings/emeit-12/3626
Yang, X., & Han, Q. (2024). Nonlinear effects of enterprise digital transformation on environmental, social and governance (ESG) performance: Evidence from China. Sustainability Accounting, Management and Policy Journal, 15(2), 355-381. https://doi.org/10.1108/SAMPJ-08-2023-0553
Yerlikaya, B. A., Ömezli, S., & Aydoğan, N. (2020). Climate Change Forecasting and Modeling for the Year of 2050. Içinde S. Fahad, M. Hasanuzzaman, M. Alam, H. Ullah, M. Saeed, I. Ali Khan, & M. Adnan (Ed.), Environment, Climate, Plant and Vegetation Growth (ss. 109-122). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-49732-3_5
Yount, K. M., Crandall, A., & Cheong, Y. F. (2018). Women’s Age at First Marriage and Long-Term Economic Empowerment in Egypt. World Development, 102, 124-134. https://doi.org/10.1016/j.worlddev.2017.09.013
Zakaria, N. H., Hassan, R., Othman, M. R., Zakaria, Z., & Kasim, S. (2017). A Review on Classification of the Urban Poverty Using the Artificial Intelligence Method. Journal of Asian Scientific Research, 7(11), 450-458. https://doi.org/10.18488/journal.2.2017.711.450.458
Zhailauov, Y. B., Przhedetskaya, N. V., & Bespyatykh, V. I. (2023). Responsible Production and Consumption in Agriculture 4.0 Based on Deep Learning for Sustainable Development. Içinde E. G. Popkova & B. S. Sergi (Ed.), Food Security in the Economy of the Future (ss. 139-146). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-23511-5_15
Zhang, C., Sun, Z., Xing, Q., Sun, J., Xia, T., & Yu, H. (2021). Localizing Indicators of SDG11 for an Integrated Assessment of Urban Sustainability—A Case Study of Hainan Province. Sustainability, 13, 11092. https://doi.org/10.3390/su131911092
Zhang, H. (2023). Artificial intelligence in healthcare: Opportunities and challenges. Theoretical and Natural Science, 21, 130-134. https://doi.org/10.54254/2753-8818/21/20230845
Zhang, H., Zhang, Z., Jing, J., & Hu, H. (2015, Ekim). Study on the Architecture about Equipment Support Information System based on Cloud Computing. 733-738. Atlantis Press. https://doi.org/10.2991/iwmecs-15.2015.146
Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., … Pan, Y. (2023). Intelligent Computing: The Latest Advances, Challenges, and Future. Intelligent Computing, 2, 0006. https://doi.org/10.34133/icomputing.0006
Zhu, T., Yu, J., & Du, B. (2012). RTIC-C: A Cloud Computing Platform for History Data Mining of Traffic Information. 2012 International Conference on Connected Vehicles and Expo (ICCVE), 282-283. https://doi.org/10.1109/ICCVE.2012.61