publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2022
- A data-centric weak supervised learning for highway traffic incident detectionAccident Analysis & Prevention, 2022
- Vapor–liquid equilibrium estimation of n-alkane/nitrogen mixtures using neural networksJournal of Computational and Applied Mathematics, 2022
- Artificial intelligence inferred microstructural properties from voltage–capacity curvesScientific Reports, 2022
- Artificial intelligence assisted thermoelectric materials design and discovery2022
- DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked SystemsarXiv preprint arXiv:2209.10622, 2022
2021
- Machine learning regression guided thermoelectric materials discovery–a reviewES Materials & Manufacturing, 2021
2020
- Predicting mechanical properties from microstructure images in fiber-reinforced polymers using convolutional neural networksarXiv preprint arXiv:2010.03675, 2020
- Effective risk prediction of tailings ponds using machine learningIn 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2020
- A Wavelet-CNN-LSTM Model for Tailings Pond Risk PredictionarXiv preprint arXiv:2010.00518, 2020
2019
- Probabilistic state estimation approach for AC/MTDC distribution system using deep belief network with non-Gaussian uncertaintiesIEEE Sensors Journal, 2019
- Infrared thermal imaging-based crack detection using deep learningIeee Access, 2019
2018
- Local feature sufficiency exploration for predicting security-constrained generation dispatch in multi-area power systemsIn 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018
- Deep neural network regression and sobol sensitivity analysis for daily solar energy prediction given weather dataPurdue University, 2018