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Achieving Sustainability with AI Technologies
£391.00
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In the wake of rapid industrial expansion and the consequent surge in energy consumption, our planet faces an imminent threat—global warming. The symbiotic relationship between escalating industrial activities and the insatiable demand for energy resources has given rise to a pressing environmental crisis. As information technology (IT) and computing services advance at an unprecedented pace, the need for energy usage grows exponentially, exacerbating the environmental impact. The world is at a crossroads, demanding a transformative solution that not only addresses the energy conundrum but also steers technological advancements toward a sustainable future. Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices. As nations grapple with the repercussions of energy-intensive industrial growth, Achieving Sustainability with AI Technologies emerges as an indispensable solution. This book is not merely a collection of academic discussions; it is a roadmap toward a greener, more sustainable future. By offering a strategic convergence of technology and environmental consciousness, it empowers scholars and researchers to contribute actively to the paradigm shift needed for our planet’s survival.
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Author Biography
Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has authored more than 90 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 30 books with various reputed publishers, including Elsevier, Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. Akshat Agrawal completed B.Tech in Computer Science & Engineering from UPTU & M.Tech from USICT, GGSIPU. He is currently pursuing PhD. from GGSIPU, Delhi. He works as an Assistant Professor in Amity School of Engineering & Technology, Amity University Haryana. he has a total of 11 years of teaching & research experience. His major research interests are Artificial Intelligence, Deep Learning & Machine Learning, Artificial Neural Network, Speech processing, and Image processing. He has published a total of 29 research papers in Scopus indexed and reputed refereed international journals. He has guided 20 M.Tech thesis and 42 B.Tech projects. He has been visited as a guest faculty at Technical University Kosice, Slovakia in June 2019. He actively participated in the reviewing process of research papers and book chapters and was a Program Committee member of various Conferences. He has edited one Special Issue on Sustainable technological solutions for next generation intelligent buildings in smart cities for EAI Endorsed Transactions on Smart Cities and One edited book of Wiley Publication. Swati Gupta is currently working as Associate Professor in Department of Computer Science in KR Mangalam University, Gurugram. Her area of research are Database, Data Mining, Machine Learning and Artificial Intelligence. Prior to her appointment at KRMU, she was working in Amity University, Gurugram. Dr. Swati has received her undergraduate as well as her postgraduate degree in the field of computer science and her PhD is in field of Database and Data Mining. She has published a large number of papers in reputed Journals, conferences and books chapter.Related products
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