Jan 20, 2026 · The present work proposes an effective thermal management strategy using oil spray cooling for electric machines with capacity targeting over 100 kW.

Jan 24, 2026 · It uses data from sensors, machines, and across the supply chain to improve quality, optimize production and to respond in real time to changing demands and conditions in the factory, …

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Dec 3, 2025 · Machines in different processing stages require different types of resources. When a job needs to be processed, an idle machine must be selected for processing, and the resources needed …

Dec 26, 2025 · Machine learning algorithms, particularly Random Forests, support vector machines, and Neural Networks, have demonstrated capabilities in han-dling multi-dimensional environmental …

It became natural to explore whether machines could assist in representing, checking, or even producing mathematical proofs. By “formalized mathematics” we refer to mathematics expressed in a formal …

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), …

As described in Section 2, Booleanization is an essential step for logic based feature extraction in Tsetlin Machines. Minimizing the Boolean feature space is crucial to the Tsetlin Machine’s optimization.

This is a reprint of articles from the Special Issue published online in the open access journal Machines (ISSN 2075-1702) (available at: www.mdpi.com/journal/machines/special issues/ precision machining).