[HTML][HTML] Groundwater level prediction using machine learning models: A comprehensive review
Develo** 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 see** into the …
due to unplanned use of groundwater in agriculture and seawater see** into the …
Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm
Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its
occurrences in the near future, there has been an increase in the importance of flood …
occurrences in the near future, there has been an increase in the importance of flood …