Comparison of Random Forest and SARIMA Methods Optimized with Genetic Algorithm for Wind Forecasting
Abstract: In this work, the Random Forest and SARIMA methods were used, both optimized through genetic algorithms, with the purpose of forecasting wind speed and, consequently, energy production. The ...
Livestock breeders could soon have more tools to improve the health and quality of their animals, thanks to a recent study ...
Abstract: In the poultry food industry, eggshell color is recognized as a crucial quality indicator that influences consumer preference and market value. Traditional classification methods, such as ...
Open-ended genetic algorithm approach achieves breakthrough results in precision and explainabilityReston, Va., March 16, 2026 (GLOBE NEWSWIRE) -- Noblis, a leading provider of science, technology, ...
To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results