Results 21 to 30 of about 17,774 (232)
Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin [PDF]
Advances in Engineering and Intelligence SystemsAccurate and reliable runoff forecasts are essential for effective water resource management and flood control operations. Hydrological forecasting plays a key role in decision-making, especially under changing climate conditions.
Reza Seifi Majdar +2 more
doaj +1 more source
International Journal of Renewable Energy Development, 2023 Biodiesel manufacturing from renewable feedstocks has received a lot of attention as a viable alternative to fossil fuels. The Box-Behnken design, analysis of variance (ANOVA), and the Grey Wolf Optimizer (GWO) algorithm were used in this work to ...
Van Nhanh Nguyen +6 more
doaj +1 more source
Error measure for traffic prediction for proposed SVR–x–GWO-BES and SVR–x–GWO—MAPE and RMSE.
, 2022 Error measure for traffic prediction for proposed SVR–x–GWO-BES and SVR–x–GWO—MAPE and RMSE.
Ramana Rao Y. V. (13864781) +3 more
core +1 more source
Application of GWO-SVM Algorithm in Arc Detection of Pantograph [PDF]
IEEE Access, 2020 High-speed train will produce pantograph arc during the driving process, which is harmful to pantograph-catenary system. In order to reduce pantograph-catenary system damage, a method based on Gray Wolf algorithm to optimize the binary Support Vector Machine classifier to identify pantograph arc is proposed.
Bin Li 0081 +2 more
openaire +2 more sources
LSTM-GWO performance evaluation with experiment 2.
, 2022 LSTM-GWO performance evaluation with experiment 2.
Naglaa Fathy Hassan (13189914) +2 more
core +1 more source
Performance Assessment of Metaheuristic Algorithms: Firefly, Grey Wolf, and Moth Flame in Coal Pyrolysis Kinetic Parameter Estimation [PDF]
International Journal of Mathematical, Engineering and Management SciencesThis study investigates the effectiveness of the Firefly Optimizer (FFA), Grey Wolf Optimizer (GWO), and Moth Flame Optimizer (MFO) metaheuristic algorithms in estimating the kinetic parameters of a single-step coal pyrolysis model.
Vishnu Uppalakkal +2 more
doaj +1 more source
LSTM-GWO performance evaluation with experiment 4.
, 2022 LSTM-GWO performance evaluation with experiment 4.
Naglaa Fathy Hassan (13189914) +2 more
core +1 more source
New Hybrid Algorithms for Prediction of Daily Load of Power Network
Applied Sciences, 2019 Two new hybrid algorithms are proposed to improve the performances of the meta-heuristic optimization algorithms, namely the Grey Wolf Optimizer (GWO) and Shuffled Frog Leaping Algorithm (SFLA). Firstly, it advances the hierarchy and position updating of
Pei Hu +5 more
doaj +1 more source
PSV-GWO: Particle Swarm Velocity Aided GWO for Privacy Preservation of Data
Journal of Cyber Security and Mobility, 2018 Due to the maximum usage of Social Networking Sites (SNS) the number of individuals that are posting their health information online is increasing. The health information of the user’sis disclosed on these sites, where the organization or various individuals can mine that for numerous research and commercial purposes.
Jyothi Mandala +1 more
openaire +1 more source
Alexandria Engineering Journal, 2023 Efficient resource use is a very important issue in wireless sensor networks and decentral-ized IoT-based systems. In this context, a smooth pathfinding mechanism can achieve this goal. However, since this problem is a Non-deterministic Polynomial-time (NP-hard) problem type, metaheuristic algorithms can be used.
Seyyedabbasi, Amir +4 more
openaire +3 more sources