文献
J-GLOBAL ID:202202255153702625
整理番号:22A0977833
深層転送学習とファジィ論理アプローチを用いたECGベースの運転者のストレス検出【JST・京大機械翻訳】
ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches
著者 (7件):
Amin Muhammad
(Department of Electronics, University of Peshawar, Peshawar, Pakistan)
,
Ullah Khalil
(Department of Software Engineering, University of Malakand, Dir Lower, Chakdara, Pakistan)
,
Asif Muhammad
(Department of Electronics, University of Peshawar, Peshawar, Pakistan)
,
Waheed Abdul
(Department of Computer Science, Northern University, Nowshera, Pakistan)
,
Haq Sana Ul
(Department of Electronics, University of Peshawar, Peshawar, Pakistan)
,
Zareei Mahdi
(School of Engineering and Sciences, Tecnolo ́gico de Monterrey, Zapopan, Me ́xico)
,
Biswal R. R.
(School of Engineering and Sciences, Tecnolo ́gico de Monterrey, Zapopan, Me ́xico)
資料名:
IEEE Access
(IEEE Access)
巻:
10
ページ:
29788-29809
発行年:
2022年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)