000			01583nam a22001937a 4500
005			20250515105925.0
008			250515b2021 |||||||| |||| 00| 0 eng d
020			_a9789811218835
082			_a006.31 CHE-Z
100			_aChen, Zhenghua
245			_aGeneralization with deep learning : _bfor improvement on sensing capability editors _cZhenghua chen, Min Wu and Xiaoli Li
260			_aIndia _bWorld Scientific _c2021
300			_a314p.
500			_a"Deep Learning has achieved great success in many challenging research areas, such as image recognition and natural language processing. The key merit of deep learning is to automatically learn good feature representation from massive data conceptually. In this book, we will show that the deep learning technology can be a very good candidate for improving sensing capabilities. In this edited volume, we aim to narrow the gap between human and machine by showcasing various deep learning applications in the area of sensing. The book will cover the fundamentals of deep learning techniques and their applications in real-world problems including activity sensing, remote sensing and medical sensing. It will demonstrate how different deep learning techniques help to improve the sensing capabilities and enable scientists and practitioners to make insightful observations and generate invaluable discoveries from different types of data
650			_aElectronic surveillance - Data Processing
650			_aRemote sensing - Data processing
650			_aDiagnostic imaging - Data processing
650			_aMachine Learning
999			_c93492 _d93492