文献
J-GLOBAL ID:201802256512585124
整理番号:18A2075681
バイオインスパイアード技術とAdaBoost分類器に基づく自動毒性試験モデル【JST・京大機械翻訳】
Automated toxicity test model based on a bio-inspired technique and AdaBoost classifier
著者 (8件):
Tharwat Alaa
(Faculty of Computer Science and Engineering, Frankfurt University of Applied Sciences, Frankfurt am Main, Germany)
,
Tharwat Alaa
(Scientific Research Group in Egypt (SRGE), Egypt)
,
Gaber Tarek
(Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt)
,
Gaber Tarek
(Scientific Research Group in Egypt (SRGE), Egypt)
,
Hassanien Aboul Ella
(Faculty of Computers and Information, Cairo University, Egypt)
,
Hassanien Aboul Ella
(Scientific Research Group in Egypt (SRGE), Egypt)
,
Elhoseny Mohamed
(Faculty of Computers and Information Sciences, Mansoura University, Mansoura, Dakahlia, Egypt)
,
Elhoseny Mohamed
(Scientific Research Group in Egypt (SRGE), Egypt)
資料名:
Computers and Electrical Engineering
(Computers and Electrical Engineering)
巻:
71
ページ:
346-358
発行年:
2018年
JST資料番号:
D0546B
ISSN:
0045-7906
CODEN:
CPEEBQ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)