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Hitesh Mohapatra received the B.E. degree in Information Technology from Biju Patnaik University of Technology (BPUT), Odisha in 2006, and the MTech. Degree in CSE from Odisha University of Technology and Research (OUTR) University, Odisha in 2009. He received his Ph.D. in Computer Science & Engineering in 2021 from Veer Surendra Sai University of Technology (VSSUT), Burla, India. He has contributed 30 SCI and Scopus indexed research papers, 21 international/national conferences and books on Software Engineering and C Programming respectively. He has 15 years of teaching experience both in industry and academia. He has served the research community with various capacities like session chair, technical chair, keynote speaker etc. His research interests include wireless sensor network, smart city, smart grid and smart water. Currently he is working as Associate professor at School of Computer Engineering, KIIT DU, Bhubaneswar, and Odisha.
Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen's University, Canada, in 2011. He is the "advisor to the chairman of the board of trustees on AI and informatics" at Near East University (NEU), Nicosia, and the "associate dean for research" at the faculty of engineering in the same university. Prof. Al-Turjman is the head of Artificial Intelligence (AI), Information Systems, and Software Engineering Departements, and the director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks' architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 600 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks' deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor and Francis, Elsevier, IET, and Springer. Prof. Al-Turjman has led a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.
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The Growth of AI Data Centers and the Impact on Global Water Resources (Hardcover)
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Hardcover. Etat : new. Hardcover. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337384344
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Hardcover. Etat : new. Hardcover. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337384344
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Hardcover. Etat : new. Hardcover. AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337384344
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Buch. Etat : Neu. The Growth of AI Data Centers and the Impact on Global Water Resources | Hitesh Mohapatra (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337384344 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135919765
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI data centers are rapidly emerging in rural areas across the globe as the demand for artificial intelligence technologies continues to expand. These large-scale facilities play a critical role in storing data and training machine learning models, but the resources required to operate them, most notably water, have raised growing environmental concerns. In many cases, large amounts of water are drawn from local rivers and public water supplies to cool complex data servers, placing increasing strain on the communities in which these centers are located. As the environmental footprint of AI infrastructure becomes more visible, concerns surrounding sustainability and resource consumption are becoming central topics in governmental discussions. Despite the growing attention surrounding AI data centers, there remains a lack of comprehensive academic research critically examining their environmental impact on rural communities across the globe. The Growth of AI Data Centers and the Impact on Global Water Resources examines the rapid expansion of artificial intelligence infrastructure and its growing demand on freshwater reserves. This book presents insights into how technology growth intersects sustainability challenges by highlighting real-world implications, regional case studies, and global perspectives on resource management. Covering topics such as freshwater consumption, predictive analytics for water management, and air cooling, this book is an indispensable academic resource for graduate and doctoral students, environmental scientists, climate researchers, data center managers, urban and rural development planners, policymakers, and more. N° de réf. du vendeur 9798337384344
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