| A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I) A Rohani, M Taki, M Abdollhapour Renewable Energy, 2017 | 198 | 2017 |
| Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse M Taki, Y Ajabshirchi, SF Ranjbar, A Rohani, M Matloobi Energy and Buildings 110, 314-329, 2016 | 148 | 2016 |
| Assessment of energy consumption and modeling of output energy for wheat production by neural network (MLP and RBF) and Gaussian process regression (GPR) models M Taki, A Rohani, F Soheili-Fard, A Abdeshahi Journal of cleaner production 172, 3028-3041, 2018 | 145 | 2018 |
| Solar thermal simulation and applications in greenhouse M Taki, A Rohani, M Rahmati-Joneidabad Information processing in agriculture 5 (1), 83-113, 2018 | 140 | 2018 |
| Modeling and experimental validation of heat transfer and energy consumption in an innovative greenhouse structure M Taki, Y Ajabshirchi, SF Ranjbar, A Rohani, M Matloobi Information Processing in Agriculture 3 (3), 157-174, 2016 | 127 | 2016 |
| Prediction of tractor repair and maintenance costs using Artificial Neural Network A Rohani, MH Abbaspour-Fard, S Abdolahpour Expert Systems with Applications 38 (7), 8999-9007, 2011 | 125 | 2011 |
| Development of a machine vision dual-axis solar tracking system M Abdollahpour, MR Golzarian, A Rohani, HA Zarchi solar energy 169, 136-143, 2018 | 121 | 2018 |
| Impact of gliding arc plasma pretreatment on drying efficiency and physicochemical properties of grape SHM Ashtiani, M Rafiee, MM Morad, M Khojastehpour, MR Khani, ... Innovative Food Science & Emerging Technologies 63, 102381, 2020 | 118 | 2020 |
| Life cycle assessment to compare the environmental impacts of different wheat production systems M Taki, F Soheili-Fard, A Rohani, G Chen, H Yildizhan Journal of Cleaner Production 197, 195-207, 2018 | 102 | 2018 |
| Energy consumption forecasting in agriculture by artificial intelligence and mathematical models E Bolandnazar, A Rohani, M Taki Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42
, 2020 | 95 | 2020 |
| Applied machine learning in greenhouse simulation; new application and analysis M Taki, SA Mehdizadeh, A Rohani, M Rahnama, M Rahmati-Joneidabad Information processing in agriculture 5 (2), 253-268, 2018 | 94 | 2018 |
| Identification of effective factors to select energy recovery technologies from municipal solid waste using multi-criteria decision making (MCDM): A review of thermochemical
A Shahnazari, M Rafiee, A Rohani, BB Nagar, MA Ebrahiminik, ... Sustainable energy technologies and assessments 40, 100737, 2020 | 90 | 2020 |
| Assessment of land suitability and agricultural production sustainability using a combined approach (Fuzzy-AHP-GIS): A case study of Mazandaran province, Iran S Amini, A Rohani, MH Aghkhani, MH Abbaspour-Fard, MR Asgharipour Information Processing in Agriculture 7 (3), 384-402, 2020 | 77 | 2020 |
| Optimization and study of performance parameters in an engine fueled with hydrogen J Zareei, A Rohani International Journal of Hydrogen Energy, 2020 | 72 | 2020 |
| Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks A Taheri-Rad, M Khojastehpour, A Rohani, S Khoramdel, A Nikkhah Energy 135, 405-412, 2017 | 71 | 2017 |
| Predictions of apple bruise volume using artificial neural network S Zarifneshat, A Rohani, HR Ghassemzadeh, M Sadeghi, E Ahmadi, ... Computers and electronics in agriculture 82, 75-86, 2012 | 69 | 2012 |
| Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning M Rahimi, MH Abbaspour-Fard, A Rohani Journal of Power Sources 521, 230968, 2022 | 66 | 2022 |
| Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon M Rahimi, MH Abbaspour-Fard, A Rohani Journal of Cleaner Production 329, 129714, 2021 | 61 | 2021 |
| Comparative evaluation of the performance of an improved biomass cook stove and the traditional stoves of Iran M Rasoulkhani, M Ebrahimi-Nik, MH Abbaspour-Fard, A Rohani Sustainable Environment Research 28 (6), 438-443, 2018 | 60 | 2018 |
| Predictions of viscoelastic behavior of pomegranate using artificial neural network and Maxwell model MH Saeidirad, A Rohani, S Zarifneshat Computers and Electronics in Agriculture 98, 1-7, 2013 | 59 | 2013 |
Morteza Taki, 0000-0002-3059-4984Associate Prof. Agricultural Sciences and Natural Resources University of Khuzesatan, Mollasaniยืนยันอีเมลแล้วที่ asnrukh.ac.ir
