Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues - Softcover

Mahalle

Softcover

ISBN 10: 0443267200 ISBN 13: 9780443267208

Verlag: Elsevier, 2025

Inhaltsangabe

Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the essentials of Edge AI and machine learning. It delves into the architecture, algorithms, and applications of Edge AI, offering insights into regulation and governance. Real-world case studies and practical examples are included, providing readers with the knowledge and tools to harness the transformative power of Edge AI. This book also addresses the ethical considerations and regulatory aspects of deploying AI at the edge.

In addition to offering a clear understanding of real-time decision-making, enhanced privacy, and efficient applications, this book empowers both technical and nontechnical readers by providing practical insights, case studies, and ethical considerations. It helps users implement and govern Edge AI in a responsible and effective manner.

Über diesen Titel

Über die Autorinnen und Autoren

Dr Parikshit is a senior member IEEE and is Professor, Dean Research and Development and Head - Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is an ex-member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University and various Universities and autonomous colleges across India. He has 15 patents, 200+ research publications (Google Scholar citations-2950 plus, H index-25 and Scopus Citations are 1550 plus with H index -18, Web of Science citations are 438 with H index - 10) and authored/edited 56 books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global International Journal of Rough Sets and Data Analysis, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence and reviewer for various journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in the area of IoT and machine learning and SIX students have successfully defended their PhD under his supervision from SPPU. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level.

Mr. Mandar Pramod Diwakar is presently working at VIIT, Pune as Assistant Professor in Department of Artificial Intelligence and Data Science. Author has 5 years’ experience in Teaching and 2 years industrial experience. Author is pursuing his PhD from Savitribai Phule Pune University and completed his M.E Computer Engineering from Smt. Kashibai Navale College of Engineering, SPPU, Pune. Author has 2 Indian Utility patents published, 2 important Software Copyrights and 1 literary research Copyrights registered. Author has specialization in AI, Machine Learning, data Science, Data Visualization & Deep Learning

Assistant Professor, Department of Artificial intelligence and Data Science, Vishwakarma Institute of Information Technology, Survey No. 3/4, Kondhwa (Budruk)Pune – 411048, Maharashtra (India).

Mr. Vijaykumar Raghunath Ghule is presently working as Assistant Professor in Department of Artificial Intelligence and Data Science at BRACTS’s VIIT, Pune. Author has 15 years of experience in Teaching and 1 year industrial experience. Author has completed his M.Tech ( Computer Science & Engineering) from J.N.T.U. Hyderabad, India . Author has specialization in AI, Machine Learning, data Science.

Yashwant Sudhakar Ingle is presently working at VIIT, Pune as Assistant Professor in Department of Artificial Intelligence and Data Science. Author has 12 years’ experience in Teaching and 3 yrs Industry Experience. Author is pursuing his PhD from Savitribai Phule Pune University and completed his M.Tech CSE from Visvesvaraya National Institute of Technology, Nagpur, BE CSE from Amravati University. Author has 1 US Patent published, 15 Indian Utility patents Published ,3 Design Patents granted, 3 important Software Copyrights and 2 literary research Copyrights registered. He also has 25+ publications in SCOPUS, WEB OF SCIENCE journals, IEEE & SPRINGER International Conferences and received 4 Best paper Awards in RACE National Conference 2021. Author is life member of ISTE, VNIT Alumni association and member of ACM. Author regularly teach AI honour course and AI regular course, Soft Computing and Optimization algorithms to Third year and final year of Computer Engineering. Author has undergone vigorous trainings in FDPs, Professional courses on subject Matter AI.

Von der hinteren Coverseite

Edge AI is revolutionizing industries and reshaping our everyday lives, but it comes with serious challenges and ethical considerations. Edge Artificial Intelligence: Algorithms, Applications, Challenges and Ethical Issues introduces the fundamentals of Edge AI and machine learning. It delves deep into the architecture, algorithms and applications of Edge AI, offering insights into regulation and governance. With real-world case studies, practical examples and a forward-looking perspective, this book equips readers with the knowledge and tools to harness the transformative power of Edge AI. It also addresses the ethical considerations and regulatory aspects of deploying AI at the edge, as well as offering readers a clear understanding of how to leverage AI for real-time decision-making, enhanced privacy and efficient applications. By providing practical insights, case studies and ethical considerations, it empowers both technical and nontechnical readers, helping them implement and govern Edge AI in a responsible and effective manner.

Details zur Ausgabe

• Verlag: Elsevier
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 0443267200
• ISBN 13: 9780443267208
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 210
• Kontakt zum Hersteller: ELSEVIER; https://www.elsevier.com/es-es; ; Mooswaldallee 6; Freiburg; 79108; Deutschland