Research on Piper-PCA-Bayes-LOOCV discrimination model of water inrush source in mines

Nitrate Pollution and Preliminary Source Identification of Surface Water in a Semi-Arid River Basin, Using Isotopic and Hydrochemical Approaches

Ying Xue, Jinxi Song, Yan Zhang et al. · Water · 2016 · 103 citations · Full text

Groundwater Quality, Organic Geochemistry, Environmental Chemistry +15

Assessment of Water Inrush Risk Using the Fuzzy Delphi Analytic Hierarchy Process and Grey Relational Analysis in the Liangzhuang Coal Mine, China

Mei Qiu, Longqing Shi, Chao Teng et al. · Mine Water and the Environment · 2016 · 78 citations

Fuzzy Multi-criteria Decision-making, Fuzzy Logic, Engineering +11

Feature extraction by PCA and diagnosis of breast tumors using SVM with DE-based parameter tuning

Luanyi Yang, Zeshui Xu · International Journal of Machine Learning and Cybernetics · 2017 · 73 citations

Support Vector Machine, Image Analysis, Machine Learning +15

Source discrimination of mine water inrush using multiple methods: a case study from the Beiyangzhuang Mine, Northern China

Qiang Wu, Wenping Mu, Yuan Xing et al. · Bulletin of Engineering Geology and the Environment · 2017 · 63 citations

Multiple Methods, Mining Environment, Environmental Monitoring +8

Isotopic Characterization of River Waters and Water Source Identification in an Inland River, Central Asia

Yuting Fan, Yaning Chen, Qing He et al. · Water · 2016 · 50 citations · Full text

Engineering, Inland River, Hydrogeologic System +16