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[HTML][HTML] Critical review on water quality analysis using IoT and machine learning models
Water quality and its management are the most precise concerns confronting humanity
globally. This article evaluates the various sensors used for water quality monitoring and …
globally. This article evaluates the various sensors used for water quality monitoring and …
Flood susceptibility map** with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory
Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …
main objective of this study was to produce flood susceptibility maps for the province of …
Critical role of climate factors for groundwater potential map** in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
[HTML][HTML] Evaluation of deep learning algorithms for national scale landslide susceptibility map** of Iran
The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
assessment and mitigation of landslide-related losses. In this study, we applied two novel …
GIS and AHP techniques based delineation of groundwater potential zones: a case study from southern Western Ghats, India
Over-exploitation of groundwater and marked changes in climate over the years have
imposed immense pressure on the global groundwater resources. As demand of potable …
imposed immense pressure on the global groundwater resources. As demand of potable …
[HTML][HTML] Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia
TG Andualem, GG Demeke - Journal of Hydrology: Regional Studies, 2019 - Elsevier
Abstract Study region Guna Tana Landscape, Upper Blue Nile Basin, Ethiopia. Study focus
This paper aimed to delineate the groundwater potential zones using GIS and remote …
This paper aimed to delineate the groundwater potential zones using GIS and remote …
Shallow landslide susceptibility map**: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector …
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …
and can cause social upheaval and loss of life. As a result, many scientists study the …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
Ensemble boosting and bagging based machine learning models for groundwater potential prediction
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater
resources, there is an urge to advance novel prediction systems to more accurately estimate …
resources, there is an urge to advance novel prediction systems to more accurately estimate …
Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP)
In the present study, an effort was made in Kashmir Valley, NW-Himalayas to delineate
potential groundwater areas using GIS and Analytical Hierarchy method (AHP) by …
potential groundwater areas using GIS and Analytical Hierarchy method (AHP) by …