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Machine learning algorithm applied in classifying tic from non-tic movements

In recent years, the data-driven approach has emerged as the predominant method for estimating the Remaining Useful Life (RUL) of bearings. This approach offers notable advantages, including reduced reliance on expert knowledge in bearing health analysis. However, there are three significant drawbacks associated with data-driven models that have impeded the advancement of bearing RUL estimation. These drawbacks encompass limited data availability, constrained model generalization ability, and inadequate adaptability to the nonlinear degradation process of bearings. To address these limitations...

Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting in significant damage and fatalities. The primary purpose of this study was to assess the efficacy of three machine learning algorithms (MLAs) for landslide susceptibility mapping including random forest (RF), decision tree (DT), and support vector machine (SVM). We selected a case study region that is frequently affected by landslides, the important Kamyaran–Sarvabad road in the Kurdistan province of Iran. Altogether, 14 landslide evaluation factors were input into the MLA...

An Israeli startup has developed an AI-based platform to help doctors diagnose patients with chest issues, accurately and in real time. 

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