Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare : Select Proceedings of FLAME 2024
Language: English
Published by Springer, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Druck auf Anfrage Neuware - Printed after ordering - This book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the applications of machine learning (ML) and artificial intelligence (AI) in the development of smart systems, with a particular focus on engineering and healthcare applications. It provides a comprehensive overview of state-of-the-art techniques, methodologies, and practical implementations of ML and AI to address complex problems in these domains. The book covers theoretical foundations, recent advancements, and case studies demonstrating the impact of smart systems on improving efficiency, accuracy, and overall performance in engineering and healthcare and many other multidisciplinary fields of mechanical engineering. This book will be useful forscientists, engineers, researchers and professionals working in the allied fields of machine learning and artificial intelligence.…
Seller Inventory # 9789819672134
- Title
- Machine Learning and Artificial Intelligence for Smart Systems in Engineering and Healthcare : Select Proceedings of FLAME 2024
- Author
- Bhupendra Prakash Sharma
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 9819672139
- ISBN 13
- 9789819672134
- Item weight
- 1,183 grams
- Dimensions
- 241x160x36 mm
This book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the applications of machine learning (ML) and artificial intelligence (AI) in the development of smart systems, with a particular focus on engineering and healthcare applications. It provides a comprehensive overview of state-of-the-art techniques, methodologies, and practical implementations of ML and AI to address complex problems in these domains. The book covers theoretical foundations, recent advancements, and case studies demonstrating the impact of smart systems on improving efficiency, accuracy, and overall performance in engineering and healthcare and many other multidisciplinary fields of mechanical engineering. This book will be useful for scientists, engineers, researchers and professionals working in the allied fields of machine learning and artificial intelligence.
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About the Author
Dr. Sofia Singh, Ph.D. (CSE/IT), Senior Member IEEE, Distinguished Alumnus Awardee, is an accomplished Associate Professor in the Department of AI at ASET, Amity University, Noida. Her research focuses on cutting-edge advancements in Artificial Intelligence, Machine Learning, and Data Science. Dr. Singh completed her master’s and bachelor’s degrees in computer science from prestigious institutions, consistently demonstrating academic excellence. Her research interests span across Artificial Intelligence and Machine Learning, Data Science and Big Data Analytics, Internet of Things (IoT), Cybersecurity, and Blockchain Technology. She has garnered significant recognition for her research, including the prestigious UKEIRI grant sponsored by British Council and IIT Kharagpur for the project “Advancing Healthcare through Predictive Analytics: A Machine Learning Approach,” in collaboration with the University of Yorkshire. Dr. Singh has also been awarded the Microsoft AI for Earth Grant and received the first prize in the university-level innovation competition “AVISHKAR.” Dr. Singh has authored numerous research papers published in reputed international journals and conferences and has contributed chapters to academic books. She serves as a reviewer for several peer-reviewed journals and has established two Centers of Excellence while contributing to the development of the B.Tech curriculum in AI. Her accolades include the Best Research Paper Award at an international conference, Excellence in Teaching Award from and a Research Fellowship from a prestigious national science foundation. Dr. Singh is actively involved in professional organizations such as IEEE, ACM, and CSI. Beyond her academic and research accomplishments, Dr. Sofia Singh is dedicated to community service. She actively promotes STEM education among underprivileged students and advocates for greater participation of women in technology fields. Dr. Singh's multifaceted contributions to academia, research, and community service underscore her commitment to advancing technological frontiers and fostering inclusive education and innovation in AI and related disciplines.
Dr. Anurag Singh is an esteemed Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology (NIT) Delhi. He earned his Ph.D. from the Indian Institute of Technology Kanpur in 2013 and has since made significant contributions to several areas within computer science and network analysis. Dr. Singh's research primarily focuses on Social Network Analysis, Complex Networks, Opinion Dynamics, Recommender Systems, Developing algorithms and models for personalized recommendation systems, Mathematical Modelling of Epidemic Spreading. He has authored numerous journal articles, conference papers, and book chapters, contributing extensively to the academic literature in these fields. Dr. Singh's research is characterized by its interdisciplinary nature and practical applications in understanding network dynamics and information dissemination. Dr. Singh is a senior member of IEEE, highlighting his professional standing and active engagement in the global research community. He has been recognized with multiple fellowships from the Ministry of Human Resource Development (MHRD), India, underscoring his academic excellence and contributions to education and research. Through his work, Dr. Anurag Singh continues to advance the frontiers of social network analysis, complex systems, and epidemic modelling, contributing valuable insights to both theoretical understanding and practical applications in these domains.
Dr. Bhupendra Prakash Sharma is an Associate Professor in the Department of Mechanical Engineering at Amity School of Engineering and Technology, Amity University, Noida. He earned his Ph.D. from Motilal Nehru National Institute of Technology Allahabad in 2013 and his Master's in Automated Manufacturing Systems from Birla Institute of Technology Mesra in 2007.With over seventeen years of teaching and research experience, Dr. Sharma has made substantial contributions to his field. He has published more than 100 papers in national and international conferences and journals, edited four books, and holds five patents. His dedication to research and innovation has been recognized with two best paper awards in India and Malaysia. Dr. Sharma is an active member of several professional organizations, including the Institution of Engineering and Technology (IET) and the Institute of Public Enterprise (IPE). He is also involved in social community initiatives through Kisan Majdoor Bhawna, Rastriya Swayam Sevak Sangh, and Akshya Sanatan Dharm Sabha. With a robust academic, professional, and social background, Dr. Sharma has established himself as a respected educator and scholar. His research interests include manufacturing systems, manufacturing systems, composite materials, recyclability, circular economy, and knowledge management.
Dr. Bhudev Chandra Das is a highly esteemed Professor at Amity University, Noida. He holds numerous prestigious titles, including Fellow of the National Academy of Sciences, India (FNASc), Fellow of the Indian Academy of Sciences (FASc), Fellow of the National Academy of Medical Sciences (FAMS), Fellow of the Indian National Science Academy (FNA), and J.C. Bose National Fellow. Additionally, he serves as the Chairman and Hargobind Khorana Chair Professor at Amity University. Dr. Das has made groundbreaking contributions to the fields of Cancer Research, Human Papillomavirus (HPV), Tumor Virology, Human Genetics, and Mutation Research. His extensive research primarily focuses on the molecular mechanisms underlying cancer development, progression, and treatment. He investigates the role of genetic mutations and viral factors, particularly HPV, in cancer initiation and progression. Dr. Das's work has significantly advanced the understanding of cancer biology, providing insights into the genetic and viral interactions that drive tumor development. His research is instrumental in developing new diagnostic tools and therapeutic strategies for HPV-associated cancers and other malignancies. With his wealth of experience and profound impact on cancer research and genetics, Dr. Bhudev Chandra Das continues to be a leading figure in his field, contributing to scientific knowledge and innovation in cancer treatment and prevention.
"About the title" may belong to another edition of this title.
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