文献
J-GLOBAL ID:202202288015410872
整理番号:22A0963615
実世界プラント同定のための軽量深層学習モデル【JST・京大機械翻訳】
A Light Weight Deep Learning Model for Real World Plant Identification
著者 (6件):
Arshed Muhammad Asad
(School of Systems and Technology (SST), University of Management and Technology,Lahore,Pakistan)
,
Ghassan Hadia
(Minhaj University Lahore,Department of Computer Science,Lahore,Pakistan)
,
Hussain Mubashar
(School of Systems and Technology (SST), University of Management and Technology,Lahore,Pakistan)
,
Hassan Muhammad
(University of Engineering and Technology,Department of Computer Science,Lahore,Pakistan)
,
Kanwal Ayesha
(University of Engineering and Technology,Department of Computer Science,Lahore,Pakistan)
,
Fayyaz Rimsha
(University of Engineering and Technology,Department of Computer Science,Lahore,Pakistan)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2022
号:
DCHPC
ページ:
40-45
発行年:
2022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)