Mehdi Neshat

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Meysam Majidi NezhadMälardalen UniversityVerificeret mail på mdu.se
Davide Astiaso GarciaSapienza University of RomeVerificeret mail på uniroma1.it
Seyedali MirjaliliProfessor, Torrens University Australia, Obuda University, Griffith UniversityVerificeret mail på griffith.edu.au
Markus WagnerAssociate Professor of Computer Science, Monash University, AustraliaVerificeret mail på monash.edu
Erfan AminiPhD Candidate, Ocean Engineering, Stevens Institute of TechnologyVerificeret mail på stevens.edu
Mahdi SargolzaeiUniversity of AmsterdamVerificeret mail på uva.nl
Nataliia Y. SergiienkoARC Industry Fellow, University of AdelaideVerificeret mail på adelaide.edu.au
Giuseppe PirasSapienza University of Rome - Department of Astronautics, Electrical and Energetics EngineeringVerificeret mail på uniroma1.it
Azim HeydariSapienza University of Rome, ItalyVerificeret mail på uniroma1.it
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerificeret mail på adelaide.edu.au
Lina Bertling TjernbergProfessor in Power Grid TechnologyVerificeret mail på kth.se
Amir H. GandomiProfessor, University of Technology Sydney, Obuda UniversityVerificeret mail på msu.edu
Bahareh EtaatiPh.D. Candidate, University of Applied Sciences Upper AustriaVerificeret mail på fh-hagenberg.at
Mohammad Bagher Naghibi SistaniAssociate Professor of Electrical Engineering, Ferdowsi University of MashhadVerificeret mail på um.ac.ir
GEORGIOS SYLAIOSProf. of Oceanography, Dep. of Environmental Engineering, Democritus University of ThraceVerificeret mail på env.duth.gr
Adel N. ToosiSchool of Computing and Information Systems, The University of MelbourneVerificeret mail på unimelb.edu.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaideVerificeret mail på adelaide.edu.au
Leandro Souza Pinheiro da SilvaThe University of AdelaiddeVerificeret mail på alumni.usp.br
Soheil RadfarPostdoctoral Fellow, The University of AlabamaVerificeret mail på ua.edu
Navid Salami PargooPhD Student, Rutgers University, USAVerificeret mail på rutgers.edu

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Mehdi Neshat

Senior Research Fellow, University of Technology Sydney, Torrens University Australia

Verificeret mail på uts.edu.au - Startside

AI Optimization Machine Learning Medical Artificial Intelligence Renewable Energy


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	474	2014
A fuzzy expert system for heart disease diagnosis A Adeli, M Neshat Proceedings of international multi conference of engineers and computer …, 2010	289	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	171	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	126	2008
Swallow swarm optimization algorithm: a new method to optimization M Neshat, G Sepidnam, M Sargolzaei Neural Computing & Applications, 1-26, 2012	120	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	85	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	83	2012
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
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	71	2009
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	63	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	60	2018
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	55	2011
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	49	2021
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	48	2022
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	48	2022
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	46	2022
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	43	2019
A New Cooperative Algorithm Based on PSO and K-Means for Data Clustering M Neshat, SF Yazdi, D Yazdani, M Sargolzaei Journal of Computer Science 8, 2012	43	2012
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	38*	2022
New insights into position optimisation of wave energy converters using hybrid local search M Neshat, B Alexander, NY Sergiienko, M Wagner Swarm and Evolutionary Computation 59, 100744, 2020	38*	2020

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