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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Produktdetaljer

ISBN
9798369344453
Publisert
2024-12-24
Utgiver
Vendor
Engineering Science Reference
Høyde
254 mm
Bredde
178 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
492

Om bidragsyterne

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. Murali Raman is both a Rhodes Scholar and Fulbright fellow. His academic credentials include a Phd from SISAT, Claremont, USA; MBA (Imperial College, London); MSc Human Resources (London School of Economics, UK). With his research team, Dr. Murali and his team has secured close to RM1.5Million in grant funding over the last five years. He as affiliated to Stanford’s Technology Venture Program as a Faculty Fellow- where he has had and continue to discuss issues surrounding creating a vibrant entrepreneurship ecosystem and application of innovative thinking via Design-Principles in Malaysia. He is a Stanford certified Design Thinker. Prof Murali Raman is also certified in Neuro Linguistic Programming (NLP) – 2016 as an NLP Certified Practitioner. He is also a Certified Trainer in Colored Brain Communication and Emotional Drivers based on Directive Communication Psychology. He is also a Fellow with the Malaysian Institute of Management (MIM). Akshat Agrawal completed a B.Tech in Computer Science & Engineering from UPTU and M.Tech from USICT, GGSIPU. He is currently pursuing PhD from GGSIPU, Delhi. He is an Assistant professor at Amity University Haryana's Amity School of Engineering and Technology. He has a total of 14 years of teaching and research experience. Artificial intelligence, deep learning, artificial neural networks, speech processing, and image processing are among his primary research interests. He has published a total of 37 research papers in Scopus indexed international journals and conferences. He has guided 20 M.Tech thesis and 42 B.Tech projects. In June 2019, he visited at Technical University of Kosice in Slovakia and also visited the University of Nova, Portugal through CABCIN project (ERASMUS Funded) and in May 2023 he got a scholarship to visit Wroclaw University of Science & Technology, Wroclaw Poland .He actively participated in the peer review of research papers and book chapters. Meenu Vijarania received her B.Tech degree in Information Technology from MDU university, Haryana in 2005 and M.Tech(I.T) degree from GGSIPU, New Delhi in 2007. She has 8 years of experience in teaching. Since 2011 she is working at Amity University Haryana as faculty in Computer Science Department and Completed PhD in the field of Wireless Ad-hoc Network. Her research area include topics of Wireless Networks and Genetic Algorithm . 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.