MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS

Ph.D

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Bibliographic Details
Main Author:	TEO JINQ HORNG
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2020
Subjects:	machine learning, VLSI, energy-quality scalability, voice activity detection
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/166274
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-166274
record_format	dspace
spelling	sg-nus-scholar.10635-1662742020-04-01T13:21:06Z MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS TEO JINQ HORNG ELECTRICAL & COMPUTER ENGINEERING Alioto, Massimo Bruno machine learning, VLSI, energy-quality scalability, voice activity detection Ph.D DOCTOR OF PHILOSOPHY (FOE) 2020-03-31T18:00:50Z 2020-03-31T18:00:50Z 2019-09-25 Thesis TEO JINQ HORNG (2019-09-25). MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/166274 0000-0002-4191-3610 en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	machine learning, VLSI, energy-quality scalability, voice activity detection
spellingShingle	machine learning, VLSI, energy-quality scalability, voice activity detection TEO JINQ HORNG MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
description	Ph.D
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING TEO JINQ HORNG
format	Theses and Dissertations
author	TEO JINQ HORNG
author_sort	TEO JINQ HORNG
title	MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
title_short	MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
title_full	MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
title_fullStr	MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
title_full_unstemmed	MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
title_sort	machine learning techniques for highly energy-efficient circuits
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/166274
_version_	1681100752448126976

MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS

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