Efficient Frequency ratio-Graphical adaptive tree-weighted support vector machine based ground water potential mapping utilizing remote sensing and GIS
Author:
Affiliation:
1. Saveetha School of Engineering(SIMATS),Department of Civil Engineering,Chennai,India
2. Saveetha School of Engineering(SIMATS),Department of ECE,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199113/10199175/10200889.pdf?arnumber=10200889
Reference22 articles.
1. Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India
2. Quadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping
3. Assessment of groundwater potential in terms of the availability and quality of the resource: a case study from Iraq
4. Efficient Multilevel Federated Compressed Reinforcement Learning of Smart Homes Using Deep Learning Methods
5. Assessment of Groundwater Potential Zones Using GIS and Fuzzy AHP Techniques—A Case Study of the Titel Municipality (Northern Serbia)
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