[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 …
[HTML][HTML] Application of AI techniques and robotics in agriculture: A review
The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …
A review of reservoir operation optimisations: from traditional models to metaheuristic algorithms
Reservoir operation optimisation secures benefits, such as optimising energy production
while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest …
while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest …
Influence of initialization on the performance of metaheuristic optimizers
Q Li, SY Liu, XS Yang - Applied Soft Computing, 2020 - Elsevier
All metaheuristic optimization algorithms require some initialization, and the initialization for
such optimizers is usually carried out randomly. However, initialization can have some …
such optimizers is usually carried out randomly. However, initialization can have some …
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia
Ensuring availability in terms of quality and quantity and sustainable management of safe,
affordable drinking water is one of the integral parts of envisioning the 2030 Sustainable …
affordable drinking water is one of the integral parts of envisioning the 2030 Sustainable …
Enhancement of groundwater-level prediction using an integrated machine learning model optimized by whale algorithm
The present study attempted to predict groundwater levels (GWL) obtained from precipitation
and temperature data based on various temporal delays. The radial basis function (RBF) …
and temperature data based on various temporal delays. The radial basis function (RBF) …
A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization
The hydropower problems are non-linear and non-convex in nature; therefore, optimizing
the operations of multi-hydropower plants in a multi-reservoir system is always challenging …
the operations of multi-hydropower plants in a multi-reservoir system is always challenging …
Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
There is a need to develop an accurate and reliable model for predicting suspended
sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact …
sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact …
An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach
X Wang, Y Wang, P Yuan, L Wang… - Hydrological Sciences …, 2021 - Taylor & Francis
To cope with the nonlinear and nonstationarity challenges faced by conventional runoff
forecasting models and improve daily runoff prediction accuracy, a hybrid model-based …
forecasting models and improve daily runoff prediction accuracy, a hybrid model-based …
Load-carrying capacity and mode failure simulation of beam-column joint connection: Application of self-tuning machine learning model
The behavior of reinforced concrete external beam-column joint is highly stochastic and
nonlinear due to the incorporation of several dimensional and concrete properties. Hence …
nonlinear due to the incorporation of several dimensional and concrete properties. Hence …