Cleaner power generation through market-driven generation expansion planning: an agent-based hybrid framework of game theory and particle swarm optimization N Neshat, MR Amin-Naseri Journal of Cleaner Production 105, 206-217, 2015 | 54 | 2015 |
Energy models: Methods and characteristics N Neshat, MR Amin-Naseri, F Danesh Journal of Energy in Southern Africa 25 (4), 101-111, 2014 | 48 | 2014 |
Hybrid fuzzy regression–artificial neural network for improvement of short-term water consumption estimation and forecasting in uncertain and complex environments: Case of a … A Azadeh, N Neshat, H Hamidipour Journal of Water Resources Planning and Management 138 (1), 71-75, 2012 | 36 | 2012 |
Predictive control of drying process using an adaptive neuro-fuzzy and partial least squares approach A Azadeh, N Neshat, A Kazemi, M Saberi The International Journal of Advanced Manufacturing Technology 58, 585-596, 2012 | 33 | 2012 |
A hierarchical artificial neural network for transport energy demand forecast: Iran case study A Kazemi, HG Shakouri, MB Menhaj, MR Mehregan, N Neshat Neural Network World 20 (6), 761, 2010 | 20 | 2010 |
Sustainable planning of developing tourism destinations after COVID-19 outbreak: A deep learning approach N Neshat, S Moayedfar, K Rezaee, N Amrollahi Biuki Journal of Policy Research in Tourism, Leisure and Events 16 (1), 1-21, 2024 | 17 | 2024 |
An enhanced neural network model for predictive control of granule quality characteristics N Neshat, H Mahlooji, A Kazemi Scientia Iranica 18 (3), 722-730, 2011 | 17 | 2011 |
Nonlinear ARIMAX model for long–term sectoral demand forecasting N Neshat, H Hadian, M Behzad Management Science Letters 8 (6), 581-592, 2018 | 16 | 2018 |
An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: the case of Iran A Azadeh, N Neshat, K Rafiee, AM Zohrevand Transportation Planning and Technology 35 (2), 221-240, 2012 | 15 | 2012 |
An approach of artificial neural networks modeling based on fuzzy regression for forecasting purposes N Neshat International Journal of Engineering 28 (11), 1651-1655, 2015 | 14 | 2015 |
A markov chain grey forecasting model: a case study of energy demand of industry sector in Iran A Kazemi, M Modarres, MR Mehregan, N Neshat, A Foroughi 3rd International Conference on Information and Financial Engineering IPEDR 12, 2011 | 14 | 2011 |
Optimization of steel demand forecasting with complex and uncertain economic inputs by an integrated neural network–fuzzy mathematical programming approach A Azadeh, N Neshat, E Mardan, M Saberi The International Journal of Advanced Manufacturing Technology 65, 833-841, 2013 | 13 | 2013 |
A hierarchical fuzzy linear regression model for forecasting agriculture energy demand: A case study of Iran A Kazemi, HG Shakouri, MB Menhaj, MR Mehregan, N Neshat 2011 3rd International Conference on Information and Financial Engineering …, 2011 | 13 | 2011 |
A multi-level artificial neural network for residential and commercial energy demand forecast: Iran case study A Kazemi, H Shakouri, MB Menhaj, MR Mehregan, N Neshat International Conference on Management Technology and Applications (ICMTA …, 2010 | 13 | 2010 |
Exploratory policy analysis for electric vehicle adoption in European countries: A multi-agent-based modelling approach N Neshat, M Kaya, SG Zare Journal of Cleaner Production 414, 137401, 2023 | 8 | 2023 |
Deep transfer learning-based fall detection approach using IoMT-enabled thermal imaging-assisted pervasive surveillance and big health data K Rezaee, MR Khosravi, N Neshat, MK Moghimi Journal of Circuits, Systems and Computers 31 (12), 2240005, 2022 | 7 | 2022 |
An intelligent approach for improved predictive control of spray drying process A Azadeh, N Neshat, M Saberi 2010 IEEE 14th International Conference on Intelligent Engineering Systems …, 2010 | 7 | 2010 |
Technological learning modelling towards sustainable energy planning SRA Najmeh Neshat, Hengameh Hadian Journal of Engineering, Design and Technology, 2019 | 6* | 2019 |
A game theoretic approach for sustainable power systems planning in transition H Shakouri G, MR Amin Naseri, N Neshat International Journal of Engineering 30 (3), 393-402, 2017 | 6 | 2017 |
An expert system based on analytical hierarchy process for diabetes risk assessment (DIABRA) MR Amin-Naseri, N Neshat Advances in Swarm Intelligence: Second International Conference, ICSI 2011 …, 2011 | 6 | 2011 |