T Mesri Gundoshmian
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Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers
SF Ardabili, A Mahmoudi, TM Gundoshmian
Journal of Building Engineering 6, 301-308, 2016
Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models
S Amid, T Mesri Gundoshmian
Environmental Progress & Sustainable Energy 36 (2), 577-585, 2017
Prediction of combine harvester performance using hybrid machine learning modeling and response surface methodology
TM Gundoshmian, S Ardabili, A Mosavi, AR Várkonyi-Kóczy
International Conference on Global Research and Education, 345-360, 2019
Modeling and comparison of fuzzy and on/off controller in a mushroom growing hall
SF Ardabili, A Mahmoudi, TM Gundoshmian, A Roshanianfard
Measurement 90, 127-134, 2016
Determination of physical and mechanical properties of carrot in order to reduce waste during harvesting and post‐harvesting
A Jahanbakhshi, Y Abbaspour‐Gilandeh, TM Gundoshmian
Food Science & Nutrition 6 (7), 1898-1903, 2018
Performance improvement and exhaust emissions reduction in diesel engine through the use of graphene quantum dot (GQD) nanoparticles and ethanol-biodiesel blends
A Heidari-Maleni, TM Gundoshmian, A Jahanbakhshi, B Ghobadian
Fuel 267, 117116, 2020
Application of artificial neural network in prediction of the combine harvester performance
TM Gundoshmian, HR Ghassemzadeh, S Abdollahpour, H Navid
Journal of Food Agriculture and Environment 8 (2), 721-724, 2010
Electrochemical noise analysis to examine the corrosion behavior of Ni-P deposit on AM60B alloy plated by Zr pretreatment
Z Rajabalizadeh, D Seifzadeh, A Habibi-Yangjeh, TM Gundoshmian, ...
Surface and Coatings Technology 346, 29-39, 2018
Energy use pattern and optimization of energy required for broiler production using data envelopment analysis
S Amid, TM Gundoshmian, G Shahgoli, S Rafiee
Information Processing in Agriculture 3 (2), 83-91, 2016
A novel fuel based on biocompatible nanoparticles and ethanol-biodiesel blends to improve diesel engines performance and reduce exhaust emissions
A Heidari-Maleni, TM Gundoshmian, B Karimi, A Jahanbakhshi, ...
Fuel 276, 118079, 2020
Modelling temperature variation of mushroom growing hall using artificial neural networks
S Ardabili, A Mosavi, A Mahmoudi, TM Gundoshmian, S Nosratabadi, ...
International Conference on Global Research and Education, 33-45, 2019
Performance and emission characteristics of a diesel engine fueled with functionalized multi-wall carbon nanotubes (MWCNTs-OH) and diesel–biodiesel–bioethanol blends
M Shekofteh, TM Gundoshmian, A Jahanbakhshi, A Heidari-Maleni
Energy Reports 6, 1438-1447, 2020
Performance analysis of combine harvester using hybrid model of artificial neural networks particle swarm optimization
L Nádai, F Imre, S Ardabili, TM Gundoshmian, P Gergo, A Mosavi
2020 RIVF International Conference on Computing and Communication …, 2020
Classification of soil aggregates: A novel approach based on deep learning
A Azizi, YA Gilandeh, T Mesri-Gundoshmian, AA Saleh-Bigdeli, ...
Soil and Tillage Research 199, 104586, 2020
Energy and economic analysis of broiler production under different farm sizes
S Amid, TM Gundoshmian, ShahinRafiee, G Shahgoli
Elixir Agriculture 78, 29688-29693, 2015
The effect of moisture content on some mechanical properties of three varieties of pistachio nuts
A Golmohammadi, P Sabouri, T Gundoshmian
Journal of Food Research 23 (2), 211-221, 2013
Modeling of soil compaction beneath the tractor tire using multilayer perceptron neural networks.
G Shahgholi, HG Chiyaneh, TM Gundoshmian
Journal of Agricultural Machinery 8 (1), 105-118, 2018
Prediction of output energy based on different energy inputs on broiler production using application of adaptive neural-fuzzy inference system
S Amid, T Mesri Gundoshmian
Agri. Sci. Dev 5, 14-21, 2016
The effect of the tractor driving system on its performance and fuel consumption
AM Moinfar, G Shahgholi, YA Gilandeh, TM Gundoshmian
Energy 202, 117803, 2020
Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
M Dadashzadeh, Y Abbaspour-Gilandeh, T Mesri-Gundoshmian, S Sabzi, ...
Plants 9 (5), 559, 2020
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