In this study, artificial intelligence (AI) models including adaptive neuro-fuzzy inference
systems (ANFIS), artificial neural networks (ANN), and support vector regression (SVR) were …

Accurate valve flow rate prediction is essential for the flow control process of independent
metering (IM) hydraulic valve. Traditional estimation methods are difficult to meet the high …

This research compares four machine learning techniques: linear regression, support vector
regression, random forests, and artificial neural networks, with regard to the determination of …

abstract In this study, artificial intelligence (AI) models including adaptive neuro-fuzzy
inference systems (ANFIS), artificial neural networks (ANN), and support vector regression …

A support vector regression model to determine the mechanical stress in winding conductors
of a power transformer was developed in this research. Only the hyperparameter C, related …

Accurate valve flow rate prediction is essential for the flow control process of independent
metering (IM) hydraulic valve. Traditional estimation methods are difficult to meet the high …

In this research, a method is proposed to analyze the consequences of mechanical fatigue
on the useful life of power transformers, considering all operating conditions. The typical …

Les technologies électrochimiques sont connues et utilisées pour le traitement des eaux
usées contenant des polluants organiques récalcitrants car les traitements conventionnels …

Research Article Comparison of Machine Learning Algorithms for the Prediction of Mechanical
Stress in Three-Phase Power Transfor Page 1 Research Article Comparison of Machine …

La transcription des symboles et des caractères spéciaux utilisés dans la version originale
de ce résumé n'a pas été possible en raison de limitations techniques. La version correcte …