Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India

SC Pal, D Ruidas, A Saha, ARMT Islam… - Journal of cleaner …, 2022 - Elsevier
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 …

Improving prediction of water quality indices using novel hybrid machine-learning algorithms

DT Bui, K Khosravi, J Tiefenbacher, H Nguyen… - Science of the Total …, 2020 - Elsevier
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 …

A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate

M Abed, MA Imteaz, AN Ahmed - Artificial Intelligence Review, 2023 - Springer
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi… - Catena, 2020 - Elsevier
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 …

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

M Panahi, N Sadhasivam, HR Pourghasemi… - Journal of …, 2020 - Elsevier
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 …

Hydrogeochemical evaluation and corresponding health risk from elevated arsenic and fluoride contamination in recurrent coastal multi-aquifers of eastern India

AK Jaydhar, SC Pal, A Saha, ARMT Islam… - Journal of Cleaner …, 2022 - Elsevier
Increasing groundwater pollution through toxic contamination is the primary concern for
severe environmental and health hazards across the world. Groundwater resources are …

[HTML][HTML] DEM resolution effects on machine learning performance for flood probability mapping

M Avand, A Kuriqi, M Khazaei… - Journal of Hydro …, 2022 - Elsevier
Floods are among the devastating natural disasters that occurred very frequently in arid
regions during the last decades. Accurate assessment of the flood susceptibility mapping is …

A sensitivity and robustness analysis of GPR and ANN for high-performance concrete compressive strength prediction using a Monte Carlo simulation

DV Dao, H Adeli, HB Ly, LM Le, VM Le, TT Le… - Sustainability, 2020 - mdpi.com
This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …

Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India

A Elbeltagi, M Kumar, NL Kushwaha, CB Pande… - … Research and Risk …, 2023 - Springer
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 …

Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis

S Shabani, S Samadianfard, MT Sattari, A Mosavi… - Atmosphere, 2020 - mdpi.com
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 …