文献
J-GLOBAL ID:202202226743051243
整理番号:22A0841308
特徴融合と機械学習法を用いた人間活動分類のための効果的なアプローチ【JST・京大機械翻訳】
An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
著者 (6件):
Ibrahim Muhammad Junaid
(Department of Computer Science, University of Wah, 47040, Pakistan)
,
Kainat Jaweria
(Department of Computer Science, COMSATS University Islamabad, Wah Cantt, Pakistan)
,
AlSalman Hussain
(Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia)
,
Ullah Syed Sajid
(Department of Information and Communication Technology, University of Agder (UiA), N-4898 Grimstad, Norway)
,
Al-Hadhrami Suheer
(Computer Engineering Department, Engineering College, Hadhramout University, Hadhramout, Yemen)
,
Hussain Saddam
(School of Digital Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam)
資料名:
Applied Bionics and Biomechanics (Web)
(Applied Bionics and Biomechanics (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7678A
ISSN:
1176-2322
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)