| Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance F Bagherzadeh, MJ Mehrani, M Basirifard, J Roostaei Journal of Water Process Engineering 41, 102033, 2021 | 186 | 2021 |
| Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms T Shafighfard, F Bagherzadeh, RA Rizi, DY Yoo Journal of Materials Research and Technology 21, 3777-3794, 2022 | 95 | 2022 |
| Prediction of energy consumption and evaluation of affecting factors in a full-scale WWTP using a machine learning approach F Bagherzadeh, AS Nouri, MJ Mehrani, S Thennadil Process Safety and Environmental Protection 154, 458-466, 2021 | 86 | 2021 |
| Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge B Adibimanesh, S Polesek-Karczewska, F Bagherzadeh, P Szczuko, ... Sustainable Energy Technologies and Assessments 56, 103040, 2023 | 82 | 2023 |
| Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study F Bagherzadeh, T Shafighfard, RMA Khan, P Szczuko, M Mieloszyk Mechanical Systems and Signal Processing 195, 110315, 2023 | 68 | 2023 |
| Ensemble Machine Learning approach for evaluating the material characterization of carbon nanotube-reinforced cementitious composites F Bagherzadeh, T Shafighfard Case Studies in Construction Materials 17, e01537, 2022 | 65 | 2022 |
| Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor MJ Mehrani, F Bagherzadeh, M Zheng, P Kowal, D Sobotka, J Mąkinia Process Safety and Environmental Protection 162, 1015-1024, 2022 | 56 | 2022 |
| Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams T Shafighfard, F Kazemi, F Bagherzadeh, M Mieloszyk, DY Yoo Computer‐Aided Civil and Infrastructure Engineering, 2024 | 48 | 2024 |
| Ice-Core Micro-CT Image Segmentation With Deep Learning and Gaussian Mixture Model F Bagherzadeh, J Freitag, U Frese, F Wilhelms IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023 | 10 | 2023 |
| Material comparison of dynamic cornering fatigue test (iso3006) for automotive wheel rim F Bagherzadeh, S Murugesan, P Deka International Journal of Engineering & Technology 9 (4), 881-886, 2020 | 6 | 2020 |
| A design methodology to consider occupants’ spatial adjustment and manage view content in adaptive façade design for improving visual comfort RA Rizi, F Bagherzadeh, MA Schnabel, N Bakshi Architectural Engineering and Design Management 20 (1), 168-190, 2024 | 4 | 2024 |
| Autonomous off-line robot programming for powder suction operation with PythonOCC F Bagherzadeh Journal of Machine Engineering 20 (3), 30-43, 2020 | 3 | 2020 |
| Radial fatigue analysis of automotive wheel rim (ISO 3006) P Deka, F Bagherzadeh, S Murugesan Asian Journal For Convergence In Technology (AJCT) ISSN-2350-1146 7 (1), 66-70, 2021 | 2 | 2021 |
| Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network F Bagherzadeh, J Freitag, U Frese, F Wilhelms Applied Computing and Geosciences 23, 100193, 2024 | 1 | 2024 |
| P243–Application of hybrid mechanistic/machine learning technique for liquid N2O prediction during the nitrification process MJ Mehrani, F Bagherzadeh, M Zheng, D Sobotka, P Kowal, J Makinia 7th IWA Water Resource Recovery Modelling Seminar August 21st-25th, 2021, 2021 | 1 | 2021 |
| Resolution Enhancement of Polar Ice Core micro CT Scans via Deep Learning: a Comparative Study F Bagherzadeh, J Freitag, U Frese, P Tavousi, F Wilhelms IEEE Access, 2024 | | 2024 |
| Applied Computing and Geosciences F Bagherzadeh, J Freitag, U Frese, F Wilhelms | | |
Torkan ShafighfardAnalyst @ MBIE (NZ)在 imp.gda.pl 的电子邮件经过验证
