Nidhi Agarwal – författare

This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events.AI for Climate Change and Environmental Sustainability identifies and discusses in detail the importance of environmental sustainability based on accomplishment of the UN's 17 Sustainable Developmental Goals (SDGs). It presents the various AI-based possibilities for accelerating international efforts to safeguard the environment and conserve natural resources. The authors offer a comprehensive analysis of the emerging field of climate change in relation to Internet of Things, artificial intelligence, machine learning, and deep learning. The book discusses AI developments, applications, and best practices that will help us transition to a low-carbon future on both a regional and global scale. It provides case studies with analytical results pertinent to climate change and weather prediction and includes chapters with a research-oriented approach, which can encourage new developments in the field of sustainable climate and green environment.The book can be used as a primary textbook for graduate and postgraduate students in technology and science, as well as a reference for researchers, academics, and IT professionals working on climate change and sustainability initiatives.

This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events.AI for Climate Change and Environmental Sustainability identifies and discusses in detail the importance of environmental sustainability based on accomplishment of the UN's 17 Sustainable Developmental Goals (SDGs). It presents the various AI-based possibilities for accelerating international efforts to safeguard the environment and conserve natural resources. The authors offer a comprehensive analysis of the emerging field of climate change in relation to Internet of Things, artificial intelligence, machine learning, and deep learning. The book discusses AI developments, applications, and best practices that will help us transition to a low-carbon future on both a regional and global scale. It provides case studies with analytical results pertinent to climate change and weather prediction and includes chapters with a research-oriented approach, which can encourage new developments in the field of sustainable climate and green environment.The book can be used as a primary textbook for graduate and postgraduate students in technology and science, as well as a reference for researchers, academics, and IT professionals working on climate change and sustainability initiatives.

Artificial Intelligence is rapidly reshaping the landscapes of education and business, driving innovation and redefining operational norms. The latest volume of the Advanced Series in Management brings together interdisciplinary perspectives to explore how AI technologies—from predictive analytics and automation, to adaptive learning systems—are enabling smarter decision-making, personalised experiences, and enhanced efficiency. At the same time, it critically examines the ethical, infrastructural, and skill-based challenges that accompany this digital shift, offering a balanced view of both promise and complexity.Bridging theory and practice, AI-Driven Transformation in Education and Business presents empirical research, real-world case studies, and policy insights that illuminate the evolving role of AI in organisational and educational contexts. It contributes to global conversations around digital transformation and sustainability, aligning with key UN Sustainable Development Goals such as Quality Education and Responsible Management. Ideal for scholars, students, and practitioners, this volume offers a comprehensive guide to navigating the AI-driven future, especially in a post-pandemic world where hybrid learning and intelligent business models are becoming the norm.