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Research article

First published 2025

Emergency collision avoidance strategy based on the hierarchical predictive risk assessment method

Kangqiang Zheng, Yangyi Liu, Bing Zhou [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

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Research article

First published 2019

Website user content navigation behavior modeling using time series neural networks

Esmaeel Rezaee, S. Alireza Hashemi Golpayegani

Web Intelligence

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Review article

First published 2022-10

A driving-cycle predictive control approach for energy consumption optimization of hybrid electric vehicle

Bingjiao Liu, Qin Shi, Zejia He [...]

Proceedings of the Institution of Mechanical Engineers,Part D: Journal of Automobile Engineering

Open access

Research article

First published 2023-11

Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks

Qasem Abu Al-Haija, Omar Mohamed, Wejdan Abu Elhaija

Energy Exploration & Exploitation

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Research article

First published 2026-3

Research on thermal error modeling of machine tool electric spindle based on SSA-NAR-LSTM

Xiaohui Chen, Guangsheng Chen, Yushan Sun

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Open access

Research article

First published 2022-3

Analysis and prediction of double-carriage train wheel wear based on SIMPACK and neural networks

Shuwen Wang, Hao Guo, Siyuan Zhang [...]

Advances in Mechanical Engineering

Open access

Research article

First published 2024-7

A Transcendental LASSO Function for Combining Machine Learning and Statistical Model Forecasts

Uğur Şener, Salvatore Joseph Terregrossa

Sage Open

Search results

Emergency collision avoidance strategy based on the hierarchical predictive risk assessment method

Website user content navigation behavior modeling using time series neural networks

A driving-cycle predictive control approach for energy consumption optimization of hybrid electric vehicle

Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks

Research on thermal error modeling of machine tool electric spindle based on SSA-NAR-LSTM

Analysis and prediction of double-carriage train wheel wear based on SIMPACK and neural networks

A Transcendental LASSO Function for Combining Machine Learning and Statistical Model Forecasts