![Zhongtian Jin](https://profiles-cardiff.imgix.net/attachments/3509?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Cyhoeddiad
2026
- Jin, Z. et al. 2026. Noise-conditioned denoising autoencoder with temporal attention for bearing RUL prediction. Machines 14 (1) 75. (10.3390/machines14010075)
- Jin, Z. 2026. Enhancing time series forecasting under noisy and data-scarce conditions: simulation, denoising, and few-shot learning approaches. PhD Thesis , Cardiff University.
2025
- Jin, Z. et al. 2025. Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP. Autonomous Intelligent Systems 5 (1) 2. (10.1007/s43684-024-00088-4)
2024
- Jin, Z. et al. 2024. Compact convolutional transformer for bearing remaining useful life prediction. Presented at: IWAR 2023- VII International Workshop on Autonomous Remanufacturing Caserta, Italy 18-19 October 2023. Published in: Fera, M. et al., Advances in Remanufacturing. IWAR 2023. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer. , pp.227-238. (10.1007/978-3-031-52649-7_18)
Cynadleddau
- Jin, Z. et al. 2024. Compact convolutional transformer for bearing remaining useful life prediction. Presented at: IWAR 2023- VII International Workshop on Autonomous Remanufacturing Caserta, Italy 18-19 October 2023. Published in: Fera, M. et al., Advances in Remanufacturing. IWAR 2023. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer. , pp.227-238. (10.1007/978-3-031-52649-7_18)
Erthyglau
- Jin, Z. et al. 2026. Noise-conditioned denoising autoencoder with temporal attention for bearing RUL prediction. Machines 14 (1) 75. (10.3390/machines14010075)
- Jin, Z. et al. 2025. Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP. Autonomous Intelligent Systems 5 (1) 2. (10.1007/s43684-024-00088-4)
Gosodiad
- Jin, Z. 2026. Enhancing time series forecasting under noisy and data-scarce conditions: simulation, denoising, and few-shot learning approaches. PhD Thesis , Cardiff University.
