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Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning (Advances in Computational Intelligence and Robotics) - Softcover

 
9798337310336: Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning (Advances in Computational Intelligence and Robotics)

Synopsis

Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.

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About the Authors

Digvijay Pandey Digvijay Pandey is currently working in the Department of Technical Education in Kanpur, India as a Lecturer. He did his PhD. From AKTU Lucknow in image and signal processing. He obtained his M.Tech with honors in digital systems and design at the KNIT Sultanpur (Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh and Lucknow), India, in 2016. He obtained his first degree in BTech with honors at the IERT Allahabad (Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh and Lucknow), India, in 2011. In 2012, he joined TCS (IT analyst) and worked on various US/UK/Canada projects until 2016 and worked at IERT Allahabad as a faculty member. He has more than eleven years of experience in the fields of industry and teaching. He has been on the review board of many reputed journals like Springer, Wiley, Sci, IEEE, and Scopus indexed journals.

|Balakumar Muniandi - Editor|Dr Balakumar is working as Associate Professor, Electrical and Computer Science, Lawernce Technological University, USA. AI based applications, his expertise includes strategy and roadmap development, building high performing engineering team, IT integration in merger\acquisition, new business identification, digital transformation, process improvement, IT vendor management, people management and cost optimization, he is a consistent top performer and proven leader, regularly viewed as a strong coach and influential mentor to peers and colleagues, enabling individual growth and driving greater team success.

Binay Kumar Pandey is an Assistant Professor at Govind Ballabh Pant University of Agriculture and Technology in Pantnagar, Uttarakhand, India. He obtained his education qualification in the field of Information Technology, with a focus on Bioinformatics, image processing, and high-performance computing. In 2005, he received his first degree in B. Tech. from IET Lucknow (Uttar Pradesh Technical University, Uttar Pradesh, Lucknow), India. He started working as an assistant professor in the department of information technology at Govind Ballabh Pant University of Agriculture and Technology in Pantnagar in 2010 and has since worked on a wide range of UG and PG projects. He has over a decade of experience in the fields of teaching and research. He has over 70 publications in prestigious journals, including those from renowned publishers Springer, Inderscience, Taylor & Francis (SCIE/Scopus Indexed Journals, and others), as well as three patents published in the Indian official journal of patents and two patents published in the Australian official journal of patents. He is also an editor of scientific books published by international publishers such as NOVA International. He has received numerous awards, including the PM Scholarship, among others. He chaired a session at the IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI-2020) on December 30, 2020, hosted by Pankaj Laddhad Institute of Technology and Management Studies in Buldhana, Maharashtra, India, and is a reviewer for SCI/Scopus indexed journals published by Springer, Wiley, Inder Science, Tech Science Publishers, Elsevier, and several others. He is an associate editor of SN Social Sciences, a multidisciplinary journal published by Springer Nature and Partners Universal International Research Journal (PUIRJ).

Dr. A. Shaji George has served education and ICT industry for over 25 years. He is a member of the board of trustees and professor of Crown University International and cooperate advisory board of trustees a special assistant to Pro Chancellor at Chartered Int’l Da Vinci University Inc., Nigeria, West Africa. Cooperate advisory board of trustees as a Deputy Vice President (Administration) West Coast University International, Nigeria, West Africa. Trainer and Counsellor of the National Human Rights and Humanitarian Federation -NHRF, Kerala India. A recognized technical expert in ICT Systems, Network & Telecommunication, designed and deployed large scale ICT projects. Having published more than sixty research papers in National and International Journals with impact factors, his research interests include Wireless, Networking, Cloud Computing, Image Processing Big Data, IoT and industrial automation systems.

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Paperback. Condition: new. Paperback. Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337310336

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Paperback. Condition: new. Paperback. Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337310336

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Paperback. Condition: new. Paperback. Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798337310336

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