Machine learning in geo-and environmental sciences: From small to large scale
In recent years significant breakthroughs in exploring big data, recognition of complex
patterns, and predicting intricate variables have been made. One efficient way of analyzing …
patterns, and predicting intricate variables have been made. One efficient way of analyzing …
Global review of groundwater potential models in the last decade: parameters, model techniques, and validation
NN Thanh, P Thunyawatcharakul, NH Ngu… - Journal of …, 2022 - Elsevier
This paper aims to review parameters, model techniques, validation methods in
groundwater potential field. According to statistics, there are three major model groups used …
groundwater potential field. According to statistics, there are three major model groups used …
Spatial prediction of groundwater potential map** based on convolutional neural network (CNN) and support vector regression (SVR)
Freshwater shortages have become much more common globally in recent years. Water
resources that are naturally available beneath the surface are capable of reversing this …
resources that are naturally available beneath the surface are capable of reversing this …
[HTML][HTML] Uncertainties of landslide susceptibility prediction considering different landslide types
F Huang, H ** in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques
Over-extraction of groundwater has compromised its climatic resilience properties and the
arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater …
arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater …
Regenerative agriculture and integrative permaculture for sustainable and technology driven global food production and security
A growing world population and increases in food and energy consumption have placed
production agriculture in a difficult situation. The rapid growth in food production through …
production agriculture in a difficult situation. The rapid growth in food production through …
Soft computing ensemble models based on logistic regression for groundwater potential map**
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
Assessing and map** multi-hazard risk susceptibility using a machine learning technique
HR Pourghasemi, N Kariminejad, M Amiri, M Edalat… - Scientific reports, 2020 - nature.com
The aim of the current study was to suggest a multi-hazard probability assessment in Fars
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …