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Bijan Yeganeh
Bijan Yeganeh
International Laboratory for Air Quality and Health, Queensland University of Technology, Australia
Verified email at connect.qut.edu.au
Title
Cited by
Cited by
Year
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
1322012
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
1122018
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
732016
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
602018
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
522021
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
522017
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
452018
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
412021
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
412017
Biomass-derived biochar and its application in agriculture
Z Hamidzadeh, P Ghorbannezhad, MR Ketabchi, B Yeganeh
Fuel 341, 127701, 2023
382023
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
312020
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
222021
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
112022
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
92023
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
82022
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
52021
Long-range transport of sulfur dioxide emissions from external sources to Tehran
R Bashiri Khuzestani, A Taheri, B Yeganeh
Urban Climate 49, 101445, 2023
22023
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
22022
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
2024
Using low-cost sensors to measure PM2. 5 pollution in the urban environment
B Yeganeh
Journal of Civil and Environmental Engineering, 2023
2023
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