Mehdi Neshat

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 32

Top Topics

Expert Knowledge

Evolutionary Algorithm

Top Venues

J. Inf. Knowl. Manag.

Int. J. Reason. based Intell. Syst.

Publications

Najmu Nissa, Sanjay Jamwal, Mehdi Neshat
A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques. Comput. 12 (1) (2024)
Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. CEC (2024)
Mohd Asif Hajam, Tasleem Arif, Akib Mohi Ud Din Khanday, Mehdi Neshat
An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification. Inf. 14 (11) (2023)
Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, Seyedali Mirjalili
Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations. IEEE Access 11 (2023)
Mehdi Neshat, Muktar Ahmed, Hossein Askari, Menasha Thilakaratne, Seyedali Mirjalili
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs. CoRR (2023)
Hossein Mehdipour, Erfan Amini, Seyed Taghi Naeeni, Mehdi Neshat
A Novel Hybrid Algorithm for Optimized Solutions in Ocean Renewable Energy Industry: Enhancing Power Take-Off Parameters and Site Selection Procedure of Wave Energy Converters. CoRR (2023)
Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. CoRR (2023)
Sajad Dadgar, Mehdi Neshat
A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. Sensors 22 (24) (2022)
Amin Abdollahi Dehkordi, Mina Hashemi, Mehdi Neshat, Seyedali Mirjalili, Ali Safaa Sadiq
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network. CoRR (2022)
Meysam Majidi Nezhad, Mehdi Neshat, Giuseppe Piras, Davide Astiaso Garcia, Georgios K. Sylaios
Marine Online Platforms of Services to Public End-Users - The Innovation of the ODYSSEA Project. Remote. Sens. 14 (3) (2022)
Erfan Amini, Hossein Mehdipour, Emilio Faraggiana, Danial Golbaz, Sevda Mozaffari, Giovanni Bracco, Mehdi Neshat
Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter. CoRR (2021)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX space mission benchmarks. SoftwareX 14 (2021)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
Optimisation of large wave farms using a multi-strategy evolutionary framework. GECCO (2020)
Mehdi Neshat, Bradley Alexander, Markus Wagner
A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters. Inf. Sci. 534 (2020)
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. CoRR (2020)
Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
GTOPX Space Mission Benchmarks. CoRR (2020)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
New insights into position optimisation of wave energy converters using hybrid local search. Swarm Evol. Comput. 59 (2020)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. CoRR (2020)
Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner
Design optimisation of a multi-mode wave energy converter. CoRR (2020)
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. CoRR (2020)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) (2019)
Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR (2019)
Mehdi Neshat, Bradley Alexander, Markus Wagner
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR (2019)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR (2019)
Mehdi Neshat, Bradley Alexander, Angus R. Simpson
Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. CoRR (2019)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. CoRR (2019)
Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. GECCO (2019)
Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. GECCO (2018)
Mehdi Neshat, Ali Akbar Pourahmad, Mohammad Reza Hasani
Designing an Adaptive Neuro Fuzzy Inference System for Prediction of Customers Satisfaction. J. Inf. Knowl. Manag. 15 (4) (2016)
Mehdi Neshat, Mohhammad Ahmadi
Recognising the kind of cloud using a new fuzzy knowledge-based system. Int. J. Reason. based Intell. Syst. 8 (3/4) (2016)
Ali Akbar Pourahmad, Mehdi Neshat, Mohammad Reza Hasani
Using LibQUAL Model for Improving the Level of Students' Satisfaction from Quality of Services in Academic Libraries: A Case Study in North Khorasan Province, Iran. J. Inf. Knowl. Manag. 15 (1) (2016)
Mehdi Neshat, Masoud Tabatabi, Ebrahim Zahmati, Mohhammad Shirdel
A hybrid fuzzy knowledge-based system for forest fire risk forecasting. Int. J. Reason. based Intell. Syst. 8 (3/4) (2016)
Mehdi Neshat, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Nadjaran Toosi
Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications. Artif. Intell. Rev. 42 (4) (2014)
Mehdi Neshat, Ghodrat Sepidnam, Mehdi Sargolzaei
Swallow swarm optimization algorithm: a new method to optimization. Neural Comput. Appl. 23 (2) (2013)
Mehdi Neshat
FAIPSO: fuzzy adaptive informed particle swarm optimization. Neural Comput. Appl. 23 (Supplement-1) (2013)
Ali Adeli, Ahmad Ghorbani-Rad, M. Javad Zomorodian, Mehdi Neshat, Saeed Mozaffari
Improving Nearest Neighbor Classification Using Particle Swarm Optimization with Novel Fitness Function. ICCCI (2) (2012)
Ali Adeli, Mehrnoosh Sinaee, M. Javad Zomorodian, Mehdi Neshat
Harmony-based feature selection to improve the nearest neighbor classification. CCSEIT (2012)
Mehdi Neshat, Masoud Rezaei
AIPSO: Adaptive Informed Particle Swarm Optimization. IEEE Conf. of Intelligent Systems (2010)
Mehdi Neshat, Abas E. Zadeh
Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders. IEEE Conf. of Intelligent Systems (2010)