Initialisation approaches for population-based metaheuristic algorithms: a comprehensive review
JO Agushaka, AE Ezugwu - Applied Sciences, 2022 - mdpi.com
A situation where the set of initial solutions lies near the position of the true optimality (most
favourable or desirable solution) by chance can increase the probability of finding the true …
favourable or desirable solution) by chance can increase the probability of finding the true …
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 …
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 …
resources management plans. A water quality index (WQI) considers several water quality …
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 …
resources that are naturally available beneath the surface are capable of reversing this …
Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based …
Mapping flood-prone areas is a key activity in flood disaster management. In this paper, we
propose a new flood susceptibility mapping technique. We employ new ensemble models …
propose a new flood susceptibility mapping technique. We employ new ensemble models …
Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Groundwater potential mapping (GPM) provides the valuable information on groundwater
volume that can be withdrawn from the aquifer without affecting the environmental …
volume that can be withdrawn from the aquifer without affecting the environmental …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
GIS based hybrid computational approaches for flash flood susceptibility assessment
Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …
(region) where the response time of the drainage basin is short. Identification of probable …
River water salinity prediction using hybrid machine learning models
Electrical conductivity (EC), one of the most widely used indices for water quality
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …
Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping
Groundwater is a crucial natural resource that varies in quality and quantity across Khyber
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …
Pakhtunkhwa (KPK), Pakistan. Increased population and urbanization place enormous …