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2025	Coupling physics and neural network models for dynamic analysis of multi-component systems Computer Methods in Applied Mechanics and Engineering Varsha Puklath, Debraj Ghosh
2025	Meta-learning-based adaptive operator selection for traveling salesman problem Applied Soft Computing Ho Young Jeong, Byung Duk Song
2025	A Comparative Study of Optimized-LSTM Models Using Tree-Structured Parzen Estimator for Traffic Flow Forecasting in Intelligent Transportation Computers, Materials & Continua Hamza Murad Khan, Anwar Khan, Santos Gracia Villar, Luis Alonso Dzul Lopez, Abdulaziz Almaleh, Abdullah M. Al-Qahtani
2025	STGFP: information enhanced spatio-temporal graph neural network for traffic flow prediction Applied Intelligence Qi Li, Fan Wang, Chen Wang
2025	MHCAGAT: A Meta Hybrid Convolution Attention Network for Urban Traffic Flow Prediction IEEE Access Yu Zhan, Suzi Iryanti Fadilah, Azizul Rahman Mohd Shariff
2025	A Study on Transportation Response Strategies in Flood Scenarios Journal of Digital Contents Society Jaehong Park, Chunjoo Yoon, Young-Rok Kim, Jung-Gon Sung, Min-Seok Kim
2025	Temporal feature-enhanced graph Convolutional Recurrent Network for traffic forecasting Cluster Computing Zheng Wu, Lai Wei
2025	Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model Automatika Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma
2025	Modified P-ECMS for Fuel Cell Commercial Vehicles Based on SSA-LSTM Vehicle Speed Prediction and Integration of Future Speed Trends into Dynamic Equivalent Factor Regulation Sustainability Yiming Wu, Weiguang Zheng, Jirong Qin
2025	Improvement of speed prediction for an urban network under GA-LSTM-CNN method Transportation Bae Sang Hoon, Duy Tran Quang, Hung Tuan Trinh
2024	A hybrid ship-motion prediction model based on CNN–MRNN and IADPSO Ocean Engineering Li Zhang, Xiaochen Feng, Liang Wang, Bangmin Gong, Jianliang Ai
2024	2024 IEEE 7th International Conference on Big Data and Artificial Intelligence (BDAI) Kaichao Zhan, Xingquan Zhang, Yupei Liu, Zhiming Yin, Yonghua Li
2024	Drill tools sticking prediction based on adaptive long short-term memory Measurement Science and Technology Honglin Wu, Zhongbin Wang, Lei Si, Xiaoyu Zou
2024	The Applications of Artificial Intelligence (AI)-Driven Tools in Virus-Like Particles (VLPs) Research Current Microbiology Bugude Laxmi, Palempalli Uma Maheswari Devi, Naveen Thanjavur, Viswanath Buddolla
2024	A guided genetic algorithm-based ensemble voting of polynomial regression and LSTM (GGA-PolReg-LSTM) for congestion prediction using IoT and air quality data in sustainable cities The Journal of Supercomputing Boutheina Jlifi, Mahdi Medini, Claude Duvallet
2024	Assessment of Hull and Propeller Performance Degradation Based on TSO-GA-LSTM Journal of Marine Science and Engineering Guolei Huang, Yifan Liu, Jianjian Xin, Tiantian Bao
2024	Time series forecasting model for non-stationary series pattern extraction using deep learning and GARCH modeling Journal of Cloud Computing Huimin Han, Zehua Liu, Mauricio Barrios Barrios, Jiuhao Li, Zhixiong Zeng, Nadia Sarhan, Emad Mahrous Awwad
2023	Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM IEEE Access Ke Zhao, Dudu Guo, Miao Sun, Chenao Zhao, Hongbo Shuai
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