| Using artificial neural networks for the intelligent estimation of selectivity index and metallurgical responses of a sample coal bioflotation by rhamnolipid biosurfactants A Gholami, H Khoshdast Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-19, 2020 | 22 | 2020 |
| Applying hybrid genetic and artificial bee colony algorithms to simulate a bio-treatment of synthetic dye-polluted wastewater using a rhamnolipid biosurfactant A Gholami, H Khoshdast, A Hassanzadeh Journal of Environmental Management 299, 113666, 2021 | 15 | 2021 |
| A hybrid geometallurgical study using coupled Historical Data (HD) and Deep Learning (DL) techniques on a copper ore mine A Gholami, K Asgari, H Khoshdast, A Hassanzadeh Physicochemical Problems of Mineral Processing 58 (3), 2022 | 14 | 2022 |
| Advanced Simulation of Removing Chromium from a Synthetic Wastewater by Rhamnolipidic Bioflotation Using Hybrid Neural Networks with Metaheuristic Algorithms H Khoshdast, A Gholami, A Hassanzadeh, T Niedoba, A Surowiak Materials 14 (11), 2880, 2021 | 14 | 2021 |
| Hybrid Serving of DOE and RNN-Based Methods to Optimize and Simulate a Copper Flotation Circuit A Gholami, M Movahedifar, H Khoshdast, A Hassanzadeh Minerals 12 (7), 857, 2022 | 3 | 2022 |
| Advanced Simulation of Quartz Flotation Using Micro-Nanobubbles by Hybrid Serving of Historical Data (HD) and Deep Learning (DL) Methods S Nazari, A Gholami, H Khoshdast, J Li, Y He, A Hassanzadeh Minerals 13 (1), 128, 2023 | 2 | 2023 |
Hamid KhoshdastAssociate Professor, Higher Education Complex of Zarandzarand.ac.ir üzerinde doğrulanmış e-posta adresine sahip
