文献
J-GLOBAL ID:202202269495013218
整理番号:22A0891447
ハイブリッドBayes人工知能アプローチを用いた半乾燥地域における地下水硝酸塩濃度の予測【JST・京大機械翻訳】
Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches
著者 (9件):
Alkindi Khalifa M.
(UNESCO Chair on Aflaj Studies, Archaeohydrology, University of Nizwa, Nizwa, Oman)
,
Mukherjee Kaustuv
(Department of Geography, Chandidas Mahavidyalaya, Birbhum, WB, India)
,
Pandey Manish
(University Center for Research & Development (UCRD), Chandigarh University, Mohali, Punjab, India)
,
Pandey Manish
(Department of Civil Engineering, University Institute of Engineering, Chandigarh University, Mohali, Punjab, India)
,
Arora Aman
(Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, Delhi, India)
,
Janizadeh Saeid
(Department of Watershed Management Engineering and Sciences, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, Tehran, Iran)
,
Pham Quoc Bao
(Institute of Applied Technology, Thu Dau Mot University, Binh Duong Province, Vietnam)
,
Anh Duong Tran
(Ho Chi Minh City University of Technology (HUTECH) 475A, Ho Chi Minh City, Vietnam)
,
Ahmadi Kourosh
(Department of Forestry, Faculty in Natural Resources and Marine Science, Tarbiat Modares University, Tehran, Iran)
資料名:
Environmental Science and Pollution Research
(Environmental Science and Pollution Research)
巻:
29
号:
14
ページ:
20421-20436
発行年:
2022年
JST資料番号:
W4325A
ISSN:
0944-1344
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)