| Cryptocurrency price prediction with neural networks of LSTM and Bayesian optimization ES Pour, H Jafari, A Lashgari, E Rabiee, A Ahmadisharaf European journal of business and management research 7 (2), 20-27, 2022 | 26 | 2022 |
| Transportation energy demand forecasting in Taiwan based on metaheuristic algorithms A Lashgari, H Hosseinzadeh, M Khalilzadeh, B Milani, A Ahmadisharaf, ... Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 …, 2022 | 17 | 2022 |
| Classification algorithms for remotely sensed images N Mohamadzadeh, A Ahmadisharaf Remote Sensing of Soil and Land Surface Processes, 357-368, 2024 | 1 | 2024 |
| Forecasting the Performance of US Stock Market Indices During COVID-19: RF vs LSTM R Nematirad, A Ahmadisharaf, A Lashgari arXiv preprint arXiv:2306.03620, 2023 | 1 | 2023 |
| Representative sample size for estimating saturated hydraulic conductivity via machine learning: A proof-of-concept study B Ahmadisharaf, A., Nematirad, R., Sabouri, S., Pachepsky, Y., Ghanbarian Water Resources Research, 2023 | | 2023 |
| Improved ReaxFF Parameters for Simulating Nucleation and Crystal Growth in Icosahedral Boron Materials- "Synthesis and Processing Science Principal Investigators’ Meeting", DOE Comer J, Liu, B, Ahmadisharaf A | | 2023 |
