| Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics C Zhang, P Lim, AK Qin, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2016 | 795 | 2016 |
| Health index-based prognostics for remaining useful life predictions in electrical machines F Yang, MS Habibullah, T Zhang, Z Xu, P Lim, S Nadarajan IEEE Transactions on Industrial Electronics 63 (4), 2633-2644, 2016 | 211 | 2016 |
| Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning P Lim, CK Goh, KC Tan IEEE Transactions on Cybernetics, 2016 | 159 | 2016 |
| A time window neural network based framework for Remaining Useful Life estimation P Lim, CK Goh, KC Tan Neural Networks (IJCNN), 2016 International Joint Conference on, 1746-1753, 2016 | 85 | 2016 |
| Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble P Lim, CK Goh, KC Tan, P Dutta IEEE transactions on neural networks and learning systems 28 (1), 136-148, 2017 | 77 | 2017 |
| Estimation of remaining useful life based on switching kalman filter neural network ensemble P Lim, CK Goh, KC Tan, P Dutta Ann. Conf. Prognostics Health Manag. Soc, 1-8, 2014 | 52 | 2014 |
| A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications P Lim, CK Goh, KC Tan IEEE Transactions on Emerging Topics in Computational Intelligence 2 (3 …, 2018 | 20 | 2018 |
| Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes........................... Z. Han, Z. Liu, J … C Zhang, P Lim, AK Qin, KC Tan, YF Pu, Z Yi, JL Zhou, S Wen, Z Zeng | | |
