[HTML][HTML] Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study
AA Murtaza, A Saher, MH Zafar, SKR Moosavi… - Results in …, 2024 - Elsevier
This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …
[HTML][HTML] EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread depth condition classification
Tires serve as the critical interface between a vehicle and the road. Their condition
significantly impacts road safety, vehicle performance, fuel efficiency, and operational costs …
significantly impacts road safety, vehicle performance, fuel efficiency, and operational costs …
Traffic forecasting using LSTM and SARIMA models: A comparative analysis
Transportation management, urban planning, and intelligent transportation systems require
traffic forecasts. This study compares LSTM and SARIMA traffic prediction models. LSTM, a …
traffic forecasts. This study compares LSTM and SARIMA traffic prediction models. LSTM, a …
Navigating urban congestion: Optimizing LSTM with RNN in traffic prediction
Urban congestion hinders transportation systems, requiring creative traffic forecasts. Using
Recurrent Neural Networks (RNNs), this study optimizes LSTM networks for traffic prediction …
Recurrent Neural Networks (RNNs), this study optimizes LSTM networks for traffic prediction …
[PDF][PDF] Measuring Usefulness of Crash Fact Signs on Speeding Behavior: A Case Study from Sahrawi Highway
F Alhomaidat - 2025 - preprints.org
New technology that has the ability to reduce speed and hence improve safety has attracted
researcher's interest. To mitigate speeding behaviour on the Jordanian Sahrawi highway, a …
researcher's interest. To mitigate speeding behaviour on the Jordanian Sahrawi highway, a …