Data-driven state of charge estimation of li-ion batteries using supervised machine learning methods Y Li, M Maleki, S Banitaan, M Chen 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 9 | 2021 |
Pedestrian group detection with K-means and DBSCAN clustering methods M Chen, S Banitaan, M Maleki, Y Li 2022 IEEE International Conference on Electro Information Technology (eIT), 1-6, 2022 | 4 | 2022 |
State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques Y Li, M Maleki, S Banitaan, M Chen 2022 IEEE International Conference on Electro Information Technology (eIT …, 2022 | 4 | 2022 |
State of health estimation of lithium-ion batteries using EIS measurement and transfer learning Y Li, M Maleki, S Banitaan Journal of Energy Storage 73, 109185, 2023 | 1 | 2023 |
State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots. Y Li, M Maleki, S Banitaan, M Chen ICPRAM, 842-849, 2023 | 1 | 2023 |
GDSCAN: Pedestrian group detection using dynamic epsilon M Chen, S Banitaan, M Maleki, Y Li 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
Optimizing the Effect of Battery Relaxation on Eis Measurement for Real-Time SOC Estimation Using Transfer Learning Y Li, M Maleki, S Banitaan, P Hu, Y Chen, R Liu Available at SSRN 4734695, 0 | | |