Applied Machine Learning on Sensing Technologies (True PDF) | 31.08 MB
Title: Applied Machine Learning on Sensing Technologies
Author: Md Atiqur Rahman Ahad, Anton Nijholt, Md Abdus Samad Kamal, Björn Schuller, Matthew A. Turk
Category: Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Database Management, Data Processing, General Computing
Language: English | 245 Pages | ISBN: 9781040346549
Description:
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 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.
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