Pavika Sharma – författare

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.

Quantum Learning: Bridging Artificial Intelligence, Quantum Computing, and Data Science in Education explores the transformative intersection of three revolutionary technologies reshaping the future of learning. The concept of quantum learning provides a paradigm where quantum principles redefine machine learning models, enhance computational speed, and enable novel personalized education systems.The book integrates artificial intelligence (AI), quantum algorithms, and data-driven pedagogy to reimagine classrooms and cognitive processes. Readers will discover how quantum-inspired neural networks, quantum data analysis, and intelligent tutoring systems can revolutionize educational delivery. Through interdisciplinary research, the work translates complex quantum and AI concepts into practical educational applications, featuring case studies and real-world insights that demonstrate how quantum-enhanced intelligence can personalize learning and improve outcomes. The text covers both theoretical frameworks and practical implementation strategies, offering a blueprint for adaptive, scalable learning ecosystems.This wide-ranging book will appeal to a diverse audience of researchers, educators, technologists, and policymakers seeking to understand and shape the next generation of education innovation. By combining these domains into one book and using an accessible approach, it makes cutting-edge concepts comprehensible to both technical and non-technical readers, positioning it as an essential resource for anyone involved in educational technology, artificial intelligence research, or quantum computing applications in learning environments.

This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023.The book comprises 31 full papers that were selected from a total of 129 submissions.

This book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions.

This two-volume set CCIS 2887-2888 constitutes the refereed proceedings of the Third International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2025, held in New Delhi, India, during June 14-15, 2025.The 56 full papers include in these volumes were carefully reviewed and selected from 252 submissions. They provide a comprehensive overview of recent research trends and technological advancements in sustainable development enabled by machine learning, artificial intelligence, and IoT. The contributions cover a broad spectrum of application domains, including energy-efficient and intelligent systems, smart and sustainable cities, environmental monitoring and protection, agriculture and food systems, and innovative healthcare solutions.

This two-volume set CCIS 2887-2888 constitutes the refereed proceedings of the Third International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2025, held in New Delhi, India, during June 14-15, 2025.The 56 full papers include in these volumes were carefully reviewed and selected from 252 submissions. They provide a comprehensive overview of recent research trends and technological advancements in sustainable development enabled by machine learning, artificial intelligence, and IoT. The contributions cover a broad spectrum of application domains, including energy-efficient and intelligent systems, smart and sustainable cities, environmental monitoring and protection, agriculture and food systems, and innovative healthcare solutions.