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Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India
In water resource management and pollution control research, prediction of nitrate
concentration in groundwater gets utmost priority in the last few years. Thus, our current …
concentration in groundwater gets utmost priority in the last few years. Thus, our current …
Improving prediction of water quality indices using novel hybrid machine-learning algorithms
River water quality assessment is one of the most important tasks to enhance water
resources management plans. A water quality index (WQI) considers several water quality …
resources management plans. A water quality index (WQI) considers several water quality …
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 …
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
With the increasing threat of recurring landslides, susceptibility maps are expected to play a
bigger role in promoting our understanding of future landslides and their magnitude. This …
bigger role in promoting our understanding of future landslides and their magnitude. This …
[HTML][HTML] DEM resolution effects on machine learning performance for flood probability map**
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
regions during the last decades. Accurate assessment of the flood susceptibility map** is …
Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India
Increasing groundwater pollution through toxic contamination is the primary concern for
severe environmental and health hazards across the world. Groundwater resources are …
severe environmental and health hazards across the world. Groundwater resources are …
[HTML][HTML] A sensitivity and robustness analysis of GPR and ANN for high-performance concrete compressive strength prediction using a Monte Carlo simulation
This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
techniques, namely Gaussian Process Regression (GPR) with five different kernels …
Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India
Agricultural droughts are a prime concern for economies worldwide as they negatively
impact the productivity of rain-fed crops, employment, and income per capita. In this study …
impact the productivity of rain-fed crops, employment, and income per capita. In this study …
[HTML][HTML] Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis
Evaporation is a very important process; it is one of the most critical factors in agricultural,
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
Deep learning versus gradient boosting machine for pan evaporation prediction
In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient
boosting Machine (GBM) models are developed based on a maximum air temperature …
boosting Machine (GBM) models are developed based on a maximum air temperature …