000			01660nam a22002297a 4500
999			_c4510 _d4510
005			20230120142918.0
008			230120b ||||| |||| 00| 0 eng d
020			_a9789811218835
082			_a006.31 _bCHE
245			_aGeneralization with deep learning: _bfor improvement on sensing capability
260			_bWorld Scientific Publishing Company Pvt. Ltd. _aNew Jersey _c2021
300			_axii, 314 p.
365			_aUSD _b108.00
520			_aDeep 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 humans and machines 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			_aMachine learning _92343
650			_aRemote sensing--Data processing _911504
650			_aDiagnostic imaging--Data processing _911505
700			_aChen, Zhenghua _911506
700			_aWu, Min _911507
700			_aLi, Xiaoli _911508
942			_2ddc _cBK