Mehdi Neshat

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Meysam Majidi NezhadMälardalen UniversityZweryfikowany adres z mdu.se
Davide Astiaso GarciaSapienza University of RomeZweryfikowany adres z uniroma1.it
Seyedali MirjaliliProfessor of AI, Torrens University Australia, Obuda University, Griffith UniversityZweryfikowany adres z griffith.edu.au
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaZweryfikowany adres z monash.edu
Erfan AminiPhD Candidate, Ocean Engineering, Stevens Institute of TechnologyZweryfikowany adres z stevens.edu
Mahdi SargolzaeiUniversity of AmsterdamZweryfikowany adres z uva.nl
Giuseppe PirasSapienza University of Rome - Department of Astronautics, Electrical and Energetics EngineeringZweryfikowany adres z uniroma1.it
Nataliia Y. SergiienkoARC Industry Fellow, University of AdelaideZweryfikowany adres z adelaide.edu.au
Azim HeydariSapienza University of Rome, ItalyZweryfikowany adres z uniroma1.it
Amir H. GandomiProfessor, University of Technology Sydney, Obuda UniversityZweryfikowany adres z msu.edu
Ehsan AbbasnejadAssoc. Prof. Monash UniversityZweryfikowany adres z monash.edu
Lina Bertling TjernbergProfessor in Power Grid TechnologyZweryfikowany adres z kth.se
Bahareh EtaatiPh.D. Candidate, University of Applied Sciences Upper AustriaZweryfikowany adres z fh-hagenberg.at
GEORGIOS SYLAIOSProf. of Oceanography, Dep. of Environmental Engineering, Democritus University of ThraceZweryfikowany adres z env.duth.gr
Mohammad Bagher Naghibi SistaniAssociate Professor of Electrical Engineering, Ferdowsi University of MashhadZweryfikowany adres z um.ac.ir
Adel N. ToosiSchool of Computing and Information Systems, The University of MelbourneZweryfikowany adres z unimelb.edu.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideZweryfikowany adres z adelaide.edu.au
Leandro Souza Pinheiro da SilvaDelmar Systems/The University of AdelaideZweryfikowany adres z alumni.usp.br
Navid Salami PargooPhD Student, Rutgers University, USAZweryfikowany adres z rutgers.edu
Soheil RadfarPostdoctoral Fellow, The University of AlabamaZweryfikowany adres z ua.edu

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Mehdi Neshat

Senior Research Fellow, University of Technology Sydney, CHS, TUA

Zweryfikowany adres z uts.edu.au - Strona główna

AI Optimization Machine Learning Medical Artificial Intelligence Renewable Energy


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications M Neshat, G Sepidnam, M Sargolzaei, AN Toosi Artificial intelligence review 42 (4), 965-997, 2014	491	2014
A fuzzy expert system for heart disease diagnosis A Adeli, M Neshat Proceedings of international multi conference of engineers and computer …, 2010	295	2010
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, LB Tjernberg, ... Energy conversion and management 236, 114002, 2021	199	2021
Fuzzy expert system design for diagnosis of liver disorders M Neshat, M Yaghobi, MB Naghibi, A Esmaelzadeh 2008 International Symposium on Knowledge Acquisition and Modeling, 252-256, 2008	130	2008
Swallow swarm optimization algorithm: a new method to optimization M Neshat, G Sepidnam, M Sargolzaei Neural Computing & Applications, 1-26, 2012	123	2012
Wind turbine power output prediction using a new hybrid neuro-evolutionary method M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili, D Groppi, A Heydari, ... Energy 229, 120617, 2021	96	2021
Hepatitis disease diagnosis using hybrid case based reasoning and particle swarm optimization M Neshat, M Sargolzaei, A Nadjaran Toosi, A Masoumi International Scholarly Research Notices 2012 (1), 609718, 2012	86	2012
Designing a fuzzy expert system of diagnosing the hepatitis B intensity rate and comparing it with adaptive neural network fuzzy system M Neshat, M Yaghobi Proceedings of the world congress on engineering and computer science 2, 797-802, 2009	73	2009
A Review of Artificial Fish Swarm Optimization Methods and Applications M Neshat, A Adeli, G Sepidnam, M Sargolzaei, A Najaran Toosi International Journal on Smart Sensing and Intelligent Systems 5, 107 – 148, 2012	72	2012
A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters M Neshat, B Alexander, M Wagner Information Sciences, 2020	67	2020
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements M Neshat, B Alexander, M Wagner, Y Xia Proceedings of the genetic and evolutionary computation conference, 1318-1325, 2018	64	2018
Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies M Neshat, MM Nezhad, S Mirjalili, G Piras, DA Garcia Energy Conversion and Management 259, 115590, 2022	56	2022
A comparative study on ANFIS and fuzzy expert system models for concrete mix design M Neshat, A Adeli, A Masoumi, M Sargolzae International Journal of Computer Science Issues (IJCSI) 8 (3), 196, 2011	56	2011
A novel hybrid sine cosine algorithm and pattern search for optimal coordination of power system damping controllers M Eslami, M Neshat, SA Khalid Sustainability 14 (1), 541, 2022	53	2022
A primary offshore wind farm site assessment using reanalysis data: A case study for Samothraki island MM Nezhad, M Neshat, D Groppi, P Marzialetti, A Heydari, G Sylaios, ... Renewable Energy 172, 667-679, 2021	53	2021
Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia M Neshat, S Mirjalili, NY Sergiienko, S Esmaeilzadeh, E Amini, A Heydari, ... Energy 239, 122463, 2022	49	2022
Optimization of hydraulic power take-off system settings for point absorber wave energy converter E Amini, H Mehdipour, E Faraggiana, D Golbaz, S Mozaffari, G Bracco, ... Renewable Energy 194, 938-954, 2022	48	2022
Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy M Neshat, MM Nezhad, S Mirjalili, DA Garcia, E Dahlquist, AH Gandomi Energy 278, 127701, 2023	47	2023
Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019	46	2019
Layout and design optimization of ocean wave energy converters: A scoping review of state-of-the-art canonical, hybrid, cooperative, and combinatorial optimization methods D Golbaz, R Asadi, E Amini, H Mehdipour, M Nasiri, B Etaati, STO Naeeni, ... Energy Reports 8, 15446-15479, 2022	43*	2022

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