A review of entropy measures for uncertainty quantification of stochastic processes A Namdari, Z Li Advances in Mechanical Engineering 11 (6), 1687814019857350, 2019 | 110 | 2019 |
Integrating fundamental and technical analysis of stock market through multi-layer perceptron A Namdari, ZS Li 2018 IEEE technology and engineering management conference (TEMSCON), 1-6, 2018 | 42 | 2018 |
Information sharing systems and teamwork between sub-teams: a mathematical modeling perspective H Tohidi, A Namdari, TK Keyser, J Drzymalski Journal of Industrial Engineering International 13, 513-520, 2017 | 33 | 2017 |
Lithium-ion battery prognostics through reinforcement learning based on entropy measures A Namdari, MA Samani, TS Durrani Algorithms 15 (11), 393, 2022 | 32 | 2022 |
A multilayer feedforward perceptron model in neural networks for predicting stock market short-term trends A Namdari, TS Durrani operations research forum 2 (3), 38, 2021 | 26 | 2021 |
An entropy-based approach for modeling lithium-ion battery capacity fade A Namdari, ZS Li 2020 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2020 | 17 | 2020 |
A multiscale entropy-based long short term memory model for lithium-ion battery prognostics A Namdari, ZS Li 2021 IEEE International Conference on Prognostics and Health Management …, 2021 | 13 | 2021 |
Labor Productivity and Optimal Team Size in an Inspection Process A Namdari, J Drzymalski, H Tohidi IIE Annual Conference. Proceedings, 854-859, 2017 | 9 | 2017 |
Proposing a self-optimizing neural network to predict total stock return A Namdari, S Mohammadi, J Drzymalski, C Salmon IIE Annual Conference. Proceedings, 2153-2158, 2017 | 4 | 2017 |
Predictive power of GARCH model against VMA and FMA Trading rules: the case of DJIA and DAX A Namdari, TS Durrani Proceedings of the International Annual Conference of the American Society …, 2018 | 2 | 2018 |
Methodologies for Modeling Lithium-Ion Battery Capacity Degradation Based on Entropy Measures A Namdari Western New England University, 2022 | | 2022 |