Applied Machine Learning on Sensing Technologies
Md Abdus Samad Kamal editor Md Atiqur Rahman Ahad editor Anton Nijholt editor Björn Schuller editor Matthew A Turk editor
Format:Hardback
Publisher:Taylor & Francis Ltd
Publishing:9th Jul '25
£140.00
This title is due to be published on 9th July, and will be despatched as soon as possible.
This book explores applied machine learning and deep learning in the field of sensing, vision and sensor-based applications. It includes a series of methodologies, exploration of new applications, presentations on relevant datasets, challenging applications, guidelines, ideas and future scopes. Edited by leading experts in these arenas, the book will be of great interest to academic researchers, graduate students, and industry professionals in the fields of machine learning, deep learning, AI, sensing, computer vision, and sensors.
"This book highlights the cutting-edge research that bridges theoretical advancements with impactful real-world applications. Edited by a highly accomplished team, they have together ensured a well-rounded and visionary exploration of this evolving field. A defining strength of this volume lies in its focus on methodological advancements. Chapters explore cutting-edge techniques, showcasing their practical utility in diverse domains. By applying these advanced methodologies to real-world problems, the book offers readers a clear understanding of both current trends and future opportunities in the field. This volume offers a comprehensive and forward-looking perspective on the integration of machine learning with sensing technologies. It will undoubtedly inspire researchers and practitioners to push the boundaries of what is possible, transforming these innovations into solutions that shape the future."
--Professor Philip H. S. Torr, University of Oxford, UK
ISBN: 9781032766423
Dimensions: unknown
Weight: unknown
208 pages