Bijan Yeganeh

发表

Investigations into factors affecting personal exposure to particles in urban microenvironments using low-cost sensors.

L. Morawska, M. Viana, G. Buonanno, 2018, Environment international.

Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery

S. Soufizadeh, Y. Emam, Bijan Yeganeh, 2022, Ecol. Informatics.

Effects of exposure to ambient ultrafine particles on respiratory health and systemic inflammation in children.

L. Morawska, K. Mengersen, F. Salimi, 2018, Environment international.

Multi-criteria prioritization of the renewable power plants in Australia using the fuzzy logic in decision-making method (FMCDM)

S. Stevanovic, M. Pourgholi, A. Gholami, 2021, Clean Energy.

Prediction of CO concentrations based on a hybrid Partial Least Square and Support Vector Machine model

Bijan Yeganeh, Yousef Rashidi, M. Shafie Pour Motlagh, 2012 .

The feasibility study of stabilizing the automotive paint sludge by recycling, to produce green concrete blocks, considering environmental and mechanical factors

Bijan Yeganeh, Ahmadreza Khatamgooya, 2022, Journal of Material Cycles and Waste Management.

Estimating the spatiotemporal variation of NO2 concentration using an adaptive neuro-fuzzy inference system

Ahmad Tavassoli, Lidia Morawska, Samuel Clifford, 2018, Environ. Model. Softw..

A satellite-based model for estimating PM2.5 concentration in a sparsely populated environment using soft computing techniques

Lidia Morawska, Michael Hewson, Bijan Yeganeh, 2017, Environ. Model. Softw..

Energy assessment and greenhouse gas predictions in the automotive manufacturing industry in Iran

M. Abbasi, Bijan Yeganeh, Parisa Javadi, 2021 .

Biomass-derived biochar and its application in agriculture

P. Ghorbannezhad, Bijan Yeganeh, M. Ketabchi, 2023, Fuel.

A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran

S. Soufizadeh, Y. Emam, Bijan Yeganeh, 2021 .

Deep Learning Estimation of Daily Ground‐Level NO2 Concentrations From Remote Sensing Data

Yunsoo Choi, Bijan Yeganeh, Yannic Lops, 2021, Journal of Geophysical Research: Atmospheres.

Prediction of methane emission from landfills using machine learning models

M. Abbasi, H. Kamalan, Bijan Yeganeh, 2021, Environmental Progress & Sustainable Energy.

Development of a land use regression model for daily NO2 and NOx concentrations in the Brisbane metropolitan area, Australia

Lidia Morawska, Samuel Clifford, Bijan Yeganeh, 2017, Environ. Model. Softw..

Reliable prediction of carbon monoxide using developed support vector machine

Bijan Yeganeh, Roohollah Noori, Saber Moazami, 2016 .

Development of machine learning models for estimating wheat biophysical variables using satellite-based vegetation indices

Bijan Yeganeh, E. Bakhshandeh, M. Jamali, 2023, Advances in Space Research.

Long-Range Transport of Sulfur Dioxide Emissions From External Sources to Tehran

Bijan Yeganeh, Reza Bashiri Khuzestani, A. Taheri, 2021, Urban Climate.