LEADER 03630nam 22005293 450 001 9910983062603321 005 20240928060243.0 010 $a9783031717291 010 $a3031717295 035 $a(MiAaPQ)EBC31690024 035 $a(Au-PeEL)EBL31690024 035 $a(CKB)36193820600041 035 $a(Exl-AI)31690024 035 $a(EXLCZ)9936193820600041 100 $a20240928d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSustainable Development Through Machine Learning, AI and IoT $eSecond International Conference, ICSD 2024, Virtual Event, April 27-28, 2024, Proceedings 205 $a1st ed. 210 1$aCham :$cSpringer,$d2024. 210 4$d©2025. 215 $a1 online resource (442 pages) 225 1 $aCommunications in Computer and Information Science Series ;$vv.2196 311 08$a9783031717284 311 08$a3031717287 327 $a Preface -- Organization -- Contents -- For Artificial Learning Based Papers -- Advancing Predictive Maintenance in the Oil and Gas Industry: A Generative AI Approach with GANs and LLMs for Sustainable Development -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Application in the Oil and Gas Industry -- 5 Results and Analysis -- 6 Conclusion -- 7 Future Scope -- References -- Advancing Sustainable Cybersecurity: Exploring Trends and Overcoming Challenges with Generative AI -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Dataset Used -- 5 Result -- 6 Conclusion -- 7 Future Scope -- References -- Advancing Sustainable Security: AI-Driven Embedded Hardware for Mobile Robotics -- 1 Introduction -- 2 Methodology -- 2.1 Hardware Components and Assembly Details -- 2.2 Object Detection and Tracking -- 2.3 Programming Frame Work and Software Architecture -- 3 Experimental Result -- 3.1 Object Detection Performance Metrics$7Generated by AI. 330 $aThis volume presents the proceedings of the Second International Conference on Sustainable Development Using Machine Learning, Artificial Intelligence, and the Internet of Things (ICSD 2024), held virtually in New Delhi, India. The conference serves as a platform for researchers worldwide to explore the potential of advanced technologies in promoting sustainable development. It includes 38 full papers selected from 167 submissions, covering diverse topics such as smart cities, environmental monitoring, and healthcare solutions. The collection highlights innovative approaches to leveraging ML, AI, and IoT for sustainable development, emphasizing informed decision-making, resource optimization, and innovative solutions to global challenges. The book is aimed at researchers, academics, and professionals interested in the application of technology for sustainable development.$7Generated by AI. 410 0$aCommunications in Computer and Information Science Series 606 $aSustainable development$7Generated by AI 606 $aMachine learning$7Generated by AI 615 0$aSustainable development 615 0$aMachine learning 700 $aWhig$b Pawan$01448637 701 $aSilva$b Nuno$01448638 701 $aElngar$b Ahmad A$01785640 701 $aAneja$b Nagender$01448639 701 $aSharma$b Pavika$01448640 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983062603321 996 $aSustainable Development Through Machine Learning, AI and IoT$94317159 997 $aUNINA