Art
J-GLOBAL ID:202102283773611914   Reference number:21A1295636

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

人工ニューラルネットワークと実AdaBoostアンサンブル技術を組み合わせた地下水ポテンシャルマッピング:ベトナム,DakNong省の事例研究【JST・京大機械翻訳】
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Material:
Volume: 17  Issue:Page: 2473  Publication year: 2020 
JST Material Number: U7208A  ISSN: 1660-4601  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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Artificial intelligence 
Reference (99):
  • Carrard, N.; Foster, T.; Willetts, J. Groundwater as a Source of Drinking Water in Southeast Asia and the Pacific: A Multi-Country Review of Current Reliance and Resource Concerns. Water 2019, 11, 1605.
  • Grönwall, J.; Oduro-Kwarteng, S. Groundwater as a strategic resource for improved resilience: A case study from peri-urban Accra. Environ. Earth Sci. 2018, 77, 6.
  • Magesh, N.; Chandrasekar, N.; Soundranayagam, J.P. Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geosci. Front. 2012, 3, 189-196.
  • Amarasinghe, U.A.; Smakhtin, V. Global Water Demand Projections: Past, Present and Future; IWMI: Colombo, Sri Lanka, 2014; Volume 156.
  • Vo, P. Urbanization and water management in Ho Chi Minh City, Vietnam-issues, challenges and perspectives. GeoJournal 2008, 70, 75-89.
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