Results 21 to 30 of about 326 (131)

Optimal Parameter Identification of Perovskite Solar Cells Using Modified Bald Eagle Search Optimization Algorithm [PDF]

open access: yesEnergies, 2023
In this paper, a modified bald eagle search optimization algorithm was applied for the first time to determine the parameters of the triple diode model (TDM) of perovskite solar cells (PSCs).
Abdul Ghani Olabi   +8 more
doaj   +2 more sources

Prediction Model of Borehole Spontaneous Combustion Based on Machine Learning and Its Application

open access: yesFire, 2023
In order to quickly and accurately predict borehole spontaneous combustion danger and avoid borehole spontaneous combustion fires, a borehole spontaneous combustion prediction model combining the Hunger Games search optimization algorithm (HGS) and ...
Yun Qi   +4 more
doaj   +2 more sources

A Robust Fractional-Order PID Controller Based Load Frequency Control Using Modified Hunger Games Search Optimizer

open access: yesEnergies, 2022
In this article, a recent modified meta-heuristic optimizer named the modified hunger games search optimizer (MHGS) is developed to determine the optimal parameters of a fractional-order proportional integral derivative (FOPID) based load frequency ...
Ahmed Fathy   +4 more
doaj   +2 more sources

Mitigating mismatch power loss of series–parallel and total-cross-tied array configurations using novel enhanced heterogeneous hunger games search optimizer [PDF]

open access: yesEnergy Reports, 2022
The location of shaded or faulty Photovoltaic modules in the PV array has a negative impact on the harvested power from the entire array. To overcome this significant limitation, PV reconfiguration is a considerable technique developed via interchanging ...
Dalia Yousri   +5 more
doaj   +2 more sources

Optimal dimensioning of grid-connected PV/wind hybrid renewable energy systems with battery and supercapacitor storage a statistical validation of meta-heuristic algorithm performance [PDF]

open access: yesScientific Reports
The increasing environmental and economic drawbacks of fossil fuels have accelerated the global transition to renewable energy sources. In this context, the optimal design of hybrid renewable energy systems (HRES) that combine solar, wind, and energy ...
Mohamed Mahmoud Samy, Aykut Fatih Güven
doaj   +2 more sources

Road Damage Detection Using the Hunger Games Search with Elman Neural Network on High-Resolution Remote Sensing Images

open access: yesRemote Sensing, 2022
Roads can be significant traffic lifelines that can be damaged by collapsed tree branches, landslide rubble, and buildings debris. Thus, road damage detection and evaluation by utilizing High-Resolution Remote Sensing Images (RSI) are highly important to
Mesfer Al Duhayyim   +7 more
doaj   +2 more sources

Federated Reinforcement Learning with Hybrid Optimization for Secure and Reliable Data Transmission in Wireless Sensor Networks (WSNs) [PDF]

open access: yesMathematics
Wireless Sensor Networks (WSNs) consist of numerous battery-powered sensor nodes that operate with limited energy, computation, and communication capabilities.
Seyed Salar Sefati   +4 more
doaj   +2 more sources

Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms

open access: yesCase Studies in Construction Materials, 2023
Basalt Fiber Asphalt Concrete (BFAC) is an environmentally friendly and durable material with potential road, bridge, and infrastructure construction applications.
Ba Nhan Phung   +4 more
doaj   +2 more sources

Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer [PDF]

open access: yesMathematics, 2021
Recently, the resources of renewable energy have been in intensive use due to their environmental and technical merits. The identification of unknown parameters in photovoltaic (PV) models is one of the main issues in simulation and modeling of renewable
Hassan Shaban   +8 more
doaj   +2 more sources

Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms [PDF]

open access: yesScientific Reports
Recently, Internet of Things (IoT) usage has increased rapidly, and cybersecurity concerns have also improved. Cybersecurity attacks are exclusive to the IoT, which has unique limitations and characteristics. Considering that many attacks and threats are
Fahad Alblehai
doaj   +2 more sources

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