5 days ago · They proved that it is an NP-Hard problem to schedule independent tasks with non-unitary execution times on identical machines while taking unavailability periods into account [22–24]. The …

IMU recorded gait patterns are mapped into a nonlinear dynamic representation space using criticality analysis and subse-quently classified using standard Support Vector Machines. Inertial-only gait …

Dec 21, 2025 · The proposed methodology effectively addresses these issues in prediction performance and successfully detects and diagnoses rotor crack faults in industrial machines under various …

Jan 2, 2026 · Models such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have been successfully applied to analyse complex patterns in operational data, enhancing the …

This study focuses on the use of grinding waste as a low-cost raw material for pro-ducing new antifriction composites designed for friction units in stencil-printing machines.

Dec 16, 2025 · This paper presents an analytically derived optimal control strategy for wound-rotor synchronous machines (WRSM) based on minimising the Joule losses in both the stator and rotor …

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The papers have different focus and include studies on design, modeling and control of electrical machines as well as experimental verifications. The papers included in this special issue have …

Jan 9, 2025 · Common algorithms in this category include support vector machines (SVMs), k-nearest neighbors (KNNs), decision tree (DT), Random Forest (RF), artificial neural networks (ANNs), …

Thermal analyses are of great relevance, especially concerning PM machines because of the permanent magnet sensitivity to high operating temperatures, which could lead to the PM demagnetization.