Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...
The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Abstract: The motion control of distributed drive electric vehicles (DDEVs) under extreme operating conditions is significantly affected by the strong nonlinearities in vehicle dynamics. A novel ...
* @throws std::logic_error If the library is already loaded. * @throws std::system_error If loading the library failed. * @throws std::logic_error If the library is ...
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