| Application of RPCA in optical coherence tomography for speckle noise reduction F Luan, Y Wu Laser Physics Letters 10 (3), 035603, 2013 | 43 | 2013 |
| Predicting hot-strip finish rolling thickness using stochastic configuration networks X Li, Y He, J Ding, F Luan, D Zhang Information Sciences 611, 677-689, 2022 | 35 | 2022 |
| Prediction and analysis of key parameters of head deformation of hot-rolled plates based on artificial neural networks Z Dong, X Li, F Luan, D Zhang Journal of Manufacturing Processes 77, 282-300, 2022 | 32 | 2022 |
| A comparative assessment of six machine learning models for prediction of bending force in hot strip rolling process X Li, F Luan, Y Wu Metals 10 (5), 685, 2020 | 32 | 2020 |
| A Particle Swarm Optimization Algorithm With Novel Expected Fitness Evaluation for Robust Optimization Problems F Luan, JH Choi, HK Jung Magnetics, IEEE Transactions on 48 (2), 331-334, 2012 | 31 | 2012 |
| Fpga-based implementation of stochastic configuration networks for regression prediction Y Gao, F Luan, J Pan, X Li, Y He Sensors 20 (15), 4191, 2020 | 21 | 2020 |
| FPGA-based implementation of stochastic configuration network for robotic grasping recognition J Pan, F Luan, Y Gao, Y Wei IEEE Access 8, 139966-139973, 2020 | 18 | 2020 |
| Design of Remote Monitoring System Based on STM32F407 Microcontroller T Li, F Luan, M Wang, Q Song, Z Shi 2019 IEEE International Conference on Power, Intelligent Computing and …, 2019 | 15 | 2019 |
| Point and interval prediction of the effective length of hot-rolled plates based on IBES-XGBoost Z Dong, X Li, F Luan, J Ding, D Zhang Measurement 214, 112857, 2023 | 13 | 2023 |
| A novel GPR-based prediction model for strip crown in hot rolling by using the improved local outlier factor Y Wu, X Li, F Luan, Y He IEEE Access 9, 458-469, 2020 | 13 | 2020 |
| Design of turbidity remote monitoring system based on fx-11a optical fiber sensor Q Song, F Luan, Z Shi, T Li, M Wang 2020 prognostics and health management conference (phm-besançon), 291-294, 2020 | 11 | 2020 |
| Fusion of theory and data-driven model in hot plate rolling: A case study of rolling force prediction Z Dong, X Li, F Luan, L Meng, J Ding, D Zhang Expert Systems with Applications 245, 123047, 2024 | 10 | 2024 |
| A comparison of regularization techniques for magnetoencephalography source reconstruction F Luan, C Lee, JH Choi, HK Jung IEEE transactions on magnetics 46 (8), 3209-3212, 2010 | 10 | 2010 |
| Prediction of bending force in the hot strip rolling process using multilayer extreme learning machine Y Wu, H Ni, X Li, F Luan, Y He Mathematical Problems in Engineering 2021 (1), 6682660, 2021 | 8 | 2021 |
| Interval prediction of bending force in the hot strip rolling process based on neural network and whale optimization algorithm X Tian, F Luan, X Li, Y Wu, N Chen Journal of Intelligent & Fuzzy Systems 43 (6), 7297-7315, 2022 | 5 | 2022 |
| A new weighted correlation coefficient method to evaluate reconstructed brain electrical sources JH Choi, MH Kim, L Feng, C Lee, HK Jung Journal of Applied Mathematics 2012 (1), 251295, 2012 | 5 | 2012 |
| Prediction of rolling force in the hot strip rolling using support vector regression with principal components analysis Z Zhang, F Luan, D Li, J Xu, H Wang, J Geng 2019 2nd International Conference on Information Systems and Computer Aided …, 2019 | 4 | 2019 |
| Improving the accuracy of beamforming method for moving acoustic source localization in far-field Q Bao, F Luan, J Yang 2017 10th International Congress on Image and Signal Processing, BioMedical …, 2017 | 4 | 2017 |
| Precise Estimation of Correlated Bio-Electromagnetic Activities in Deep Source Space F Luan, JH Choi, C Lee, MH Kim, HK Jung Magnetics, IEEE Transactions on 48 (2), 339-342, 2012 | 4 | 2012 |
| RPCA-based noise suppression in MEG measurement for improving bio-electromagnetic source estimation F Luan, JH Choi, HK Jung IEEE transactions on magnetics 49 (5), 1585-1588, 2013 | 3 | 2013 |
