Sustainable Development Through Machine Learning, AI and IoT : Second International Conference, ICSD 2024, Virtual Event, April 27-28, 2024, Proceedings

• Autore: Whig Pawan
• Pubblicazione: Cham : , : Springer, , 2024; ©2025
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (442 pages)
• Soggetto topico: Sustainable development; Machine learning
• Altri autori: SilvaNuno ElngarAhmad A AnejaNagender SharmaPavika
• Nota di contenuto: 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
• Sommario/riassunto: This 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.
• Titolo autorizzato: Sustainable Development Through Machine Learning, AI and IoT
• ISBN: 9783031717291; 3031717295
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910983062603321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series