Blar i NTNU Open på forfatter "Gholami, Alireza"
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Advanced Simulation of Quartz Flotation Using Micro-Nanobubbles by Hybrid Serving of Historical Data (HD) and Deep Learning (DL) Methods
Nazari, Sabereh; Gholami, Alireza; Khoshdast, Hamid; Li, Jinlong; He, Yaqun; Hassanzadeh, Ahmad (Peer reviewed; Journal article, 2023)The present study investigates the optimization and advanced simulation of the flotation process of coarse particles (–425 + 106) using micro-nanobubbles (MNBs). For this purpose, flotation experiments in the presence and ... -
Advanced simulation of removing chromium from a synthetic wastewater by rhamnolipidic bioflotation using hybrid neural networks with metaheuristic algorithms
Khoshdast, Hamid; Gholami, Alireza; Hassanzadeh, Ahmad; Niedoba, Tomasz; Surowiak, Agnieszka (Peer reviewed; Journal article, 2021)This work aims at presenting an advanced simulation approach for a novel rhamnolipidic-based bioflotation process to remove chromium from wastewater. For this purpose, the significance of key influential operating variables ... -
Hybrid Serving of DOE and RNN-Based Methods to Optimize and Simulate a Copper Flotation Circuit
Gholami, Alireza; Movahedifar, Meysam; Khoshdast, Hamid; Hassanzadeh, Ahmad (Peer reviewed; Journal article, 2022)Prediction of metallurgical responses during the flotation process is extremely vital to increase the process efficiency using a proper modeling approach. In this study, two new variants of the recurrent neural network ...