文献
J-GLOBAL ID:201802267361013945
整理番号:18A1907951
ウェアラブル技術を用いた居住者の熱状態検出のための畳込みニューラルネットワークとカーネル法【JST・京大機械翻訳】
Convolutional Neural Network and Kernel Methods for Occupant Thermal State Detection using Wearable Technology
著者 (6件):
Chaudhuri Tanaya
(Energy Research Institute @ NTU (ERIAN), Interdisciplinary Graduate School, Nanyang Technological University, 639798, Singapore)
,
Zhai Deqing
(School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore)
,
Soh Yeng Chai
(Energy Research Institute @ NTU (ERIAN), Interdisciplinary Graduate School, Nanyang Technological University, 639798, Singapore)
,
Li Hua
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore)
,
Xie Lihua
(School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore)
,
Ou Xianhua
(School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
IJCNN
ページ:
1-8
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)