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Abstract: This paper explores a model-free approach based on the random search (RS) algorithm for maximizing wind farms power production. The RS based approach is utilized to find the optimal control ...

The applications of group theory to many-body problem are introduced with emphasis on the various dynamic symmetry models of nuclei. There should be no difficulty for the readers of this book to ...

Treatment effects were visualised in forest plots of tabular trial data, using fixed-effects inverse variance-weighted meta-analysis models to illustrate heterogeneity as the I 2 statistic. Because ...

Pharmacen, Centre of Excellence for Pharmaceutical Sciences, North-West University, Private Bag X6001, Potchefstroom 2520, South Africa ...

Small deformations of a viscoelastic body are considered through the linear Maxwell and Kelvin–Voigt models in the quasi-static equilibrium. A robust mixed finite element method, enforcing the ...

This project explores the effectiveness of ensemble learning (Random Forest) and deep learning (CNN) models for detecting obfuscated malware using memory-based features. It uses the CIC-MalMem-2022 ...

About Advanced Machine Learning applies sophisticated techniques like ensemble models (Random Forest, XGBoost), hyperparameter tuning, feature engineering, and dimensionality reduction to build highly ...

The beauty of the statistical physics approach lies in its ability to neatly describe phase transitions, such as ice melting, and other fundamental phenomena, including magnetism. However, the ...