A comprehensive survey on particle swarm optimization algorithm and its applications
Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …
Sensing advancement towards safety assessment of hydrogen fuel cell vehicles
The hazardous effects of pollutants emitted by conventional fuel vehicles have moved
academic and industrial authorities toward the utilization of a more efficient alternative …
academic and industrial authorities toward the utilization of a more efficient alternative …
Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
R Taormina, KW Chau - Journal of hydrology, 2015 - Elsevier
Selecting an adequate set of inputs is a critical step for successful data-driven streamflow
prediction. In this study, we present a novel approach for Input Variable Selection (IVS) that …
prediction. In this study, we present a novel approach for Input Variable Selection (IVS) that …
Recent advances in sensing and assessment of corrosion in sewage pipelines
S Foorginezhad, M Mohseni-Dargah… - Process Safety and …, 2021 - Elsevier
Corrosion is known as the gradual destruction of materials, leading to structural integrity loss
and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to …
and deteriorates the surface function. Regarding sewage pipelines, corrosion is vital due to …
Neural network river forecasting through baseflow separation and binary-coded swarm optimization
The inclusion of expert knowledge in data-driven streamflow modeling is expected to yield
more accurate estimates of river quantities. Modular models (MMs) designed to work on …
more accurate estimates of river quantities. Modular models (MMs) designed to work on …
[PDF][PDF] Assessing the impact of private investment in AI and financial globalization on load capacity factor: evidence from United States
The need for sustainable solutions has increased globally as a result of the growing
environmental problems brought about by urbanization and industrialization. Given this …
environmental problems brought about by urbanization and industrialization. Given this …
[HTML][HTML] Daily streamflow forecasting based on the hybrid particle swarm optimization and long short-term memory model in the Orontes Basin
HC Kilinc - Water, 2022 - mdpi.com
Water, a renewable but limited resource, is vital for all living creatures. Increasing demand
makes the sustainability of water resources crucial. River flow management, one of the key …
makes the sustainability of water resources crucial. River flow management, one of the key …
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis
In this research, three different evolutionary algorithms (EAs), namely, particle swarm
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …
optimization (PSO), genetic algorithm (GA) and differential evolution (DE), are integrated …
Seasonal rainfall forecasting by adaptive network-based fuzzy inference system (ANFIS) using large scale climate signals
Accurate seasonal rainfall forecasting is an important step in the development of reliable
runoff forecast models. The large scale climate modes affecting rainfall in Australia have …
runoff forecast models. The large scale climate modes affecting rainfall in Australia have …
Machine learning in surface plasmon resonance for environmental monitoring
Biosensors are being used for diverse purposes, including food safety, biological studies,
drug screening, medical diagnosis, and environmental sensing. They have numerous …
drug screening, medical diagnosis, and environmental sensing. They have numerous …