[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
H Tao, MM Hameed, HA Marhoon… - Neurocomputing, 2022 - Elsevier
Developing accurate soft computing methods for groundwater level (GWL) forecasting is
essential for enhancing the planning and management of water resources. Over the past two …
essential for enhancing the planning and management of water resources. Over the past two …
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems
M Abdel-Basset, R Mohamed, M Jameel… - Knowledge-Based …, 2023 - Elsevier
This work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting
The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for
complex optimization problems. Despite its widespread application, the abundance of social …
complex optimization problems. Despite its widespread application, the abundance of social …
[HTML][HTML] A visualized hybrid intelligent model to delineate Swedish fine-grained soil layers using clay sensitivity
In the current paper, a hybrid model was developed to generate 3D delineated soil horizons
using clay sensitivity (S t) with 1 m depth intervals in a landslide prone area in the southwest …
using clay sensitivity (S t) with 1 m depth intervals in a landslide prone area in the southwest …
Pre-and post-dam river water temperature alteration prediction using advanced machine learning models
Dams significantly impact river hydrology by changing the timing, size, and frequency of low
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …
and high flows, resulting in a hydrologic regime that differs significantly from the natural flow …
Application of innovative machine learning techniques for long-term rainfall prediction
Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
The rising salinity trend in the country's coastal groundwater has reached an alarming rate
due to unplanned use of groundwater in agriculture and seawater seeping into the …
due to unplanned use of groundwater in agriculture and seawater seeping into the …
Optimized ANFIS model using hybrid metaheuristic algorithms for Parkinson's disease prediction in IoT environment
Throughout recent years, the progress of telemonitoring and telediagnostics devices for
evaluating and tracking Parkinson's (PD) disease has become increasingly important. The …
evaluating and tracking Parkinson's (PD) disease has become increasingly important. The …