Advances in Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2023, Volume 1 (Lecture Notes in Electrical Engineering, 1264, Band 1) - Hardcover

Hardcover

ISBN 10: 9819795060 ISBN 13: 9789819795062

Verlag: Springer, 2025

Inhaltsangabe

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning―ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Über diesen Titel

Über die Autorin bzw. den Autor

Gaurav Raj works at Sharda University, Greater Noida, India, and has done B. Tech. in CSE from UPTU, M.Tech. in SE from NIT, Allahabad, and Ph.D. in CSE from Punjab Technical University, India. His research areas are artificial intelligence, cloud computing, software engineering, and web services and security. He has more than 11 years of teaching experience. He has several research papers to his credit that have been published in reputed journals and conferences. He also has several patents published to his credit. He has vast experience in organizing faculty development programs, workshops, seminars, and conferences.

Bhuvan Unhelker is an Accomplished IT Professional and Professor of IT at the University of South Florida, the USA. He is also a Founding Consultant at Method Science and Co-Founder and Director at PlatiFi. His research areas are business analysis and requirements modeling, software engineering, big data strategies, agile processes, mobile business, and green IT. His domain experience is banking, financial, insurance, government, and telecommunications. He has designed, developed, and customized a suite of industrial courses, which are regularly delivered to business executives and IT professionals globally, including those in Australia, the USA, the UK, China, India, Sri Lanka, New Zealand, Singapore, and Malaysia. His thought leadership is reflected through multiple Cutter Executive Reports, various journals, and 21 books. He is the Winner of the Computerworld Object Developer Award (1995), Consensus IT Professional Award (2006), and IT Writer Award (2010). He has a Doctorate in the area of “Object Orientation” from the University of Technology, Sydney, in 1997. He is a Fellow of the Australian Computer Society, a Senior Member of IEEE, a Professional Scrum Master, and a Lifetime Member of the Computer Society of India.

Dr. Ankur Choudhary is an Accomplished ML Engineering Manager at Accenture, specializing in artificial intelligence and machine learning. With a Ph.D. in Computer Science and Engineering from Gautam Buddha University, he brings over 18 years of experience in technical leadership and project management. Dr. Choudhary has previously held Senior Roles at D.S. Group Ltd. and Sharda University, contributing significantly to AI research and education. He has published 50+ papers in esteemed journals and conferences, focusing on AI, image processing, and software engineering. His work has earned him multiple best paper awards, including at AICAI-2019 and DoSCI-2021. Known for his dedication to leveraging AI for transformative change, Dr. Choudhary continues to drive innovation and deliver tangible business outcomes. He remains active in academia and industry, aiming to advance the field of AI and inspire the next generation of technologists.

Von der hinteren Coverseite

This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning―ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 9819795060
• ISBN 13: 9789819795062
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 498
• Herausgeber: Raj Gaurav, Unhelker Bhuvan, Choudhary Ankur
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland