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"Development of a hybrid model for estimating the non-linear rolling be" by Wenlang Xie

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 in...
Fusion Neural Network Remaining Useful Life Random Forest Multi Feature Fusion Neural Network Transfer Learning Long Short Term Memory
Source: uow.edu.au

"Landslide Susceptibility Mapping in a Mountainous Area Using Machine L" by Himan Shahabi, Reza Ahmadi et al.

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 Kamyaranโ€“Sarvabad road in...
Decision Tree Amyaran Sarvabad Road Machine Learning Random Forest Support Vector Machine
Source: uow.edu.au

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