Application of particle swarm optimization to water management: an introduction and overview
Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm
inspired by the interactions of individuals in a social world. This algorithm is widely applied …
inspired by the interactions of individuals in a social world. This algorithm is widely applied …
Prediction of risk delay in construction projects using a hybrid artificial intelligence model
Project delays are the major problems tackled by the construction sector owing to the
associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) …
associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) …
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Metaheuristic algorithms have received much attention recently for solving different
optimization and engineering problems. Most of these methods were inspired by nature or …
optimization and engineering problems. Most of these methods were inspired by nature or …
Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection
Predictions of Earth skin temperature (EST) can provide essential information for diverse
engineering applications such as energy harvesting and agriculture activities. Several …
engineering applications such as energy harvesting and agriculture activities. Several …
A novel multi-model data-driven ensemble technique for the prediction of retention factor in HPLC method development
Reliable simulation of retention factor (k) is crucial in high-performance liquid
chromatography (HPLC) method development. In this research, three different Artificial …
chromatography (HPLC) method development. In this research, three different Artificial …
[HTML][HTML] Sandstone groundwater salinization modelling using physicochemical variables in Southern Saudi Arabia: Application of novel data intelligent algorithms
Reliable modelling and simulation of groundwater management are crucial for sustainable
development. Groundwater salinization is considered challenging and has recently led to …
development. Groundwater salinization is considered challenging and has recently led to …
State-of-art: artificial intelligence models era in modeling beam shear strength
The computer aided models have received much attention in the recent years for solving
diverse civil engineering applications. In the current review, the applications of artificial …
diverse civil engineering applications. In the current review, the applications of artificial …
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
The challenge to determine the best policies for hydropower multiple reservoir systems is a
high-dimensional and nonlinear problem, making it challenging to attain a global solution …
high-dimensional and nonlinear problem, making it challenging to attain a global solution …
On the complexities of sediment load modeling using integrative machine learning: Application of the great river of Loíza in Puerto Rico
Sediment transportation in water bodies may cause many problems for the water resources
projects and damage the environment. Hence, modeling sediment load components …
projects and damage the environment. Hence, modeling sediment load components …
Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction
Suspended sediment load is a substantial portion of the total sediment load in rivers and
plays a vital role in determination of the service life of the downstream dam. To this end …
plays a vital role in determination of the service life of the downstream dam. To this end …