MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
Ph.D
Saved in:
主要作者: | TEO JINQ HORNG |
---|---|
其他作者: | ELECTRICAL & COMPUTER ENGINEERING |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://scholarbank.nus.edu.sg/handle/10635/166274 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | National University of Singapore |
語言: | English |
相似書籍
-
MACHINE LEARNING AND VLSI BASED FREEZING OF GAIT DETECTION SYSTEM IN PARKINSON’S DISEASE
由: MIKOS VAL
出版: (2019) -
Voice activity detection from electrocorticographic signals
由: Kanas, V.G., et al.
出版: (2016) -
MACHINE LEARNING FOR LIMITED DATA VOICE CONVERSION
由: BERRAK SISMAN
出版: (2020) -
ENERGY-EFFICIENT FEATURE EXTRACTION ENGINE AND SECURE CHIP IDENTIFICATION FOR UBIQUITOUS SURVEILLANCE
由: ANASTACIA ALVAREZ
出版: (2017) -
ULTRA ENERGY-EFFICIENT SUB-/NEAR-THRESHOLD COMPUTING: PLATFORM AND METHODOLOGY
由: ZHAO WENFENG
出版: (2014)