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Vor 4 Tagen · Comparative study of machine learning algorithms’ performances is presented in this research on considering class-based feature multi-correlation and information-theoretic dependent FSA. For our study, we considered twelve different machine learning algorithms for comparison using metrics such as accuracy, precision, recall and ROC-AUC curve ...
31. Mai 2024 · Federated learning (FL)-based fault diagnosis is being widely developed. However, most of the existing FL methods may suffer from two drawbacks: 1) they are limited to a single diagnosis task, and this may be insufficient when comprehensive health status information is needed and 2) most of them work offline, thus neglecting the useful information contained in newly collected operation data ...
29. Mai 2024 · Independent Component Analysis (ICA) was then applied to the data, utilizing the infomax algorithm available in the MNE package. The number of independent components was set to 20,...
Vor 5 Tagen · The present review paper addresses the increasing interest in the application of machine learning (ML) algorithms in the assessment of the fatigue response of additively manufactured (AM) metal alloys. This review aims to systematically collect, categorize, and analyze relevant research papers in this domain. The most commonly used ML ...
Vor 4 Tagen · Machine learning algorithms have proven to be practical in a wide range of applications. Many studies have been conducted on the operational energy consumption and thermal comfort of radiant floor ...
Vor 4 Tagen · Machine learning algorithms have proven to be practical in a wide range of applications. Many studies have been conducted on the operational energy consumption and thermal comfort of radiant floor systems. This paper conducts a case study in a self-designed experimental setup that combines radiant floor and fan coil cooling (RFCFC) and develops a data monitoring system as a source of ...
28. Mai 2024 · The performance of the PCA-ICA-LSTM model, which we propose within the scope of experimental studies, was compared with the performances of LSTM, PCA-LSTM, and ICA-LSTM deep learning price-prediction models used in the literature to predict the price of a financial asset.
