| Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas–Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries S Hosseini, O Taylan, M Abusurrah, T Akilan, E Nazemi, ... Polymers 13 (21), 3647, 2021 | 43 | 2021 |
| Precise gamma based two-phase flow meter using frequency feature extraction and only one detector S Hosseini, GH Roshani, S Setayeshi Flow Measurement and Instrumentation, 101693, 2020 | 40 | 2020 |
| Neural network modeling of thermo-hydraulic attributes and entropy generation of an ecofriendly nanofluid flow inside tubes equipped with novel rotary coaxial double-twisted tape M Bahiraei, N Mazaheri, S Hosseini Powder Technology 369, 162-175, 2020 | 35 | 2020 |
| Predicting heat transfer rate of a ribbed triple-tube heat exchanger working with nanofluid using neural network enhanced by advanced optimization algorithms M Bahiraei, LK Foong, S Hosseini, N Mazaheri Powder Technology 381, 459-476, 2021 | 29 | 2021 |
| Neural network combined with nature-inspired algorithms to estimate overall heat transfer coefficient of a ribbed triple-tube heat exchanger operating with a hybrid nanofluid M Bahiraei, LK Foong, S Hosseini, N Mazaheri Measurement 174, 108967, 2021 | 26 | 2021 |
| Deep neural network modeling for accurate electric motor temperature prediction S Hosseini, A Shahbandegan, T Akilan 2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2022 | 11 | 2022 |
| Accurate flow regime classification and void fraction measurement in two-phase flowmeters using frequency-domain feature extraction and neural networks S Hosseini, AM Iliyasu, T Akilan, AS Salama, E Eftekhari-Zadeh, K Hirota Separations 9 (7), 160, 2022 | 5 | 2022 |
| Increasing efficiency of two-phase flowmeters using frequency-domain feature extraction and neural network in the detector output spectrum S Hosseini, S Setayeshi, G Roshani, A Zahedi, F Shama Journal of Modeling in Engineering 19 (67), 47-57, 2021 | 4 | 2021 |
| Advanced deep regression models for forecasting time series oil production S Hosseini, T Akilan arXiv preprint arXiv:2308.16105, 2023 | 2 | 2023 |
| Advanced deep regression models for smart operation of the oil and gas industry S Hosseini | 1 | 2023 |
| Xcrum: A Synergistic Approach Integrating Extreme Programming with Scrum S Hosseini arXiv preprint arXiv:2310.03248, 2023 | | 2023 |
| افزایش کارآیی جریان سنج دوفازی با استفاده از روش های استخراج ویژگی حوزه ی فرکانس و شبکه عصبی در طیف خروجی آشکارساز حسینی, ستایشی, روشنی, زاهدی, عبدالحمید, شماع, فرزین مدل سازی در مهندسی 19 (67), 47-57, 2021 | | 2021 |
| Intelligent Robot for The Rock, Paper, Scissors game GH Roshani, F Fooladi, S Hosseini, S Amiri, A Hamze | | 2019 |
| Analysis of selected features based on frequency-time methods for detecting the regime and volume percentage of two-phase flowmeters A Hamzeh, S Hosseini, E Nazemi, GH Roshani 13th International Symposium on Advances in Science and Technology, 2018 | | 2018 |
| Frequency Features Analysis of Digital Signals for Measuring Multiphase Flows In Oil, Gas, Chemical and Petrochemical Industries S Hosseini, A Hamzeh, S Setayeshi, A Zahedi, E Nazemi, GH Roshani 13th International Symposium on Advances in Science and Technology, 2018 | | 2018 |
| Combining Nature-Inspired Optimization Algorithms with a Neural Network to Predict the Effectiveness of a Triple-Pipe Heat Exchanger Working with a Graphene-Based Hybrid Nanofluid M Bahiraei, S Hosseini, N Mazaheri Available at SSRN 4049512, 0 | | |
Akilan, ThangarajahLakehead University, Faculty of EngineeringVerified email at lakeheadu.ca
