Bijan Yeganeh
Bijan Yeganeh
International Laboratory for Air Quality and Health, Queensland University of Technology, Australia
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Prediction of CO concentrations based on a hybrid Partial Least Square and Support Vector Machine model
B Yeganeh, MSP Motlagh, Y Rashidi, H Kamalan
Atmospheric Environment 55, 357-365, 2012
Effects of exposure to ambient ultrafine particles on respiratory health and systemic inflammation in children
S Clifford, M Mazaheri, F Salimi, WN Ezz, B Yeganeh, S Low-Choy, ...
Environment International 114 (2018), 167-180, 2018
Reliable prediction of carbon monoxide using developed support vector machine
S Moazami, R Noori, BJ Amiri, B Yeganeh, S Partani, S Safavi
Atmospheric Pollution Research 7 (3), 412-418, 2016
Deep Learning Estimation of Daily Ground-Level NO2 Concentrations From Remote Sensing Data
M Ghahremanlo, Y Lops, Y Choi, B Yeganeh
Journal of Geophysical Research: Atmospheres 126 (21), 1-18, 2021
Investigations into factors affecting personal exposure to particles in urban microenvironments using low-cost sensors
M Mazaheri, S Clifford, B Yeganeh, M Viana, V Rizza, R Flament, ...
Environment International 120, 496-504, 2018
A satellite-based model for estimating PM2. 5 concentration in a sparsely populated environment using soft computing techniques
B Yeganeh, MG Hewson, S Clifford, LD Knibbs, L Morawska
Environmental Modelling & Software 88, 84-92, 2017
Biomass-derived biochar and its application in agriculture
Z Hamidzadeh, P Ghorbannezhad, MR Ketabchi, B Yeganeh
Fuel 341, 127701, 2023
Estimating the spatiotemporal variation of NO2 concentration using an adaptive neuro-fuzzy inference system
B Yeganeh, MG Hewson, S Clifford, A Tavassoli, LD Knibbs, L Morawska
Environmental modelling & software 100, 222-235, 2018
A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran
M Jamali, S Soufizadeh, B Yeganeh, Y Emam
Renewable and Sustainable Energy Reviews 139, 110704, 2021
Development of a land use regression model for daily NO2 and NOx concentrations in the Brisbane metropolitan area, Australia
MM Rahman, B Yeganeh, S Clifford, LD Knibbs, L Morawska
Environmental modelling & software 95, 168-179, 2017
Energy assessment and greenhouse gas predictions in the automotive manufacturing industry in Iran
P Javadi, B Yeganeh, M Abbasi, S Alipourmohajer
Sustainable Production and Consumption 26, 316-330, 2020
Prediction of methane emission from landfills using machine learning models
SM Mehrdad, M Abbasi, B Yeganeh, H Kamalan
Environmental Progress & Sustainable Energy 40 (4), 1-10, 2021
Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery
M Jamali, S Soufizadeh, B Yeganeh, Y Emam
Ecological Informatics 74, 101967, 2023
Multi-criteria prioritization of the renewable power plants in Australia using the fuzzy logic in decision-making method (FMCDM)
A Aryanfar, A Gholami, P Ghorbannezhad, B Yeganeh, M Pourgholi, ...
Clean Energy 6 (1), 16-34, 2022
Assessment of the relationship between exposure to air pollutants and COVID-19 pandemic in Tehran city, Iran
D Namdar-Khojasteh, B Yeghaneh, A Maher, F Namdar-Khojasteh, J Tu
Atmospheric Pollution Research 13 (7), 101474, 2022
Temporal trends in the spatial-scale contributions to black carbon in a Middle Eastern megacity
B Yeganeh, RB Khuzestani, A Taheri, JJ Schauer
Science of the Total Environment 792, 148364, 2021
The feasibility study of stabilizing the automotive paint sludge by recycling, to produce green concrete blocks, considering environmental and mechanical factors
B Yeganeh, A Khatamgooya
Journal of Material Cycles and Waste Management 25, 931–943, 2022
Long-range transport of sulfur dioxide emissions from external sources to Tehran
R Bashiri Khuzestani, A Taheri, B Yeganeh
Urban Climate 49, 101445, 2023
Development of machine learning models for estimating wheat biophysical variables using satellite-based vegetation indices
M Jamali, E Bakhshandeh, B Yeganeh, M Özdoğan
Advances in Space Research 73 (1), 498-513, 2024
Using low-cost sensors to measure PM2. 5 pollution in the urban environment
B Yeganeh
Journal of Civil and Environmental Engineering, 2023
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