Results 51 to 60 of about 3,951,381 (154)
Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort behavior, competition behavior and foraging behavior. The three behaviors are divided into three different
Mirjalili, S +7 more
core +1 more source
Stability Enhancement of Inverter-Based Microgrids Using Optimized Neural Networks [PDF]
[Objective] With the increasing penetration of power electronic devices,such as energy storage and photovoltaics,in microgrids,their low inertia and low damping characteristics pose challenges to the stable operation of microgrids(MGs).
PANG Kai, TANG Zhiyuan, GAO Hongjun, LIU Youbo, LIU Junyong
doaj +1 more source
This study uses advanced approaches on the enlarged BRATS dataset to increase brain magnetic resonance imaging (MRI) image reconstruction accuracy and reliability.
N. Sashi Prabha, N. Rama Rao
doaj +1 more source
The increasing integration of renewable energy sources into smart grids presents substantial challenges in solving the nonlinear and nonconvex optimal power flow (OPF) problem.
Mujtaba Ali +5 more
doaj +1 more source
Fast diagnosis of motor controller faults based on OCSSA-SVMD with CNN-BiLSTM [PDF]
In response to the problems of diverse fault types, difficult feature extraction, as well as the low accuracy and efficiency of traditional diagnostic methods for motor controllers under complex working conditions, this study proposes an intelligent ...
Changzhi Lv +4 more
doaj +1 more source
Short-Term Wind Speed Prediction for Bridge Site Area Based on Wavelet Denoising OOA-Transformer
Predicting wind speed in advance at bridge sites is essential for ensuring bridge construction safety under high wind conditions. This study proposes a short-term speed prediction model based on outlier correction, Wavelet Denoising, the Osprey ...
Yan Gao +4 more
doaj +1 more source
A study on gender detection using multiple classifiers on voice data
Researchers have frequently used metaheuristic algorithms for various problems due to their success. In data mining studies, feature selection (FS) is an essential preprocessing step for large-scale problems.
Gülnur Yildizdan, Emine Baş
doaj +1 more source
Accurate prediction of reference evapotranspiration (ET0) using integrated deep learning approaches with limited meteorological data is highly significant for efficient water resource utilization and management in arid regions.
Yongping Gao +4 more
doaj +1 more source
Circular antenna arrays (CAA) are substantially utilized for numerous wireless applications such as beamforming, fifth generation (5G) communication, and Internet of Things (IoT) applications however, it is frequently challenging to retain the high ...
Sunil Kumar +2 more
doaj +1 more source
Optimization of 3D printed drone performance using synergistic multi algorithms
The optimization of 3D-printed drone performance remains a significant challenge in achieving both efficiency and cost-effectiveness. Traditional single-algorithm approaches often fail to address the complex interplay between structural dynamics and ...
Pedklah Kamonsukyunyong +3 more
doaj +1 more source

