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Mehdi Neshat
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2020 – today
- 2024
- [j16]Iram Khurshid Bhat, Fasel Qadir, Mehdi Neshat, Amir H. Gandomi:
Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking. IEEE Access 12: 159748-159774 (2024) - [j15]Najmu Nissa, Sanjay Jamwal, Mehdi Neshat:
A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques. Comput. 12(1): 15 (2024) - [c9]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: 1-9 - [i16]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. CoRR abs/2401.05382 (2024) - 2023
- [j14]Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, Seyedali Mirjalili:
Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations. IEEE Access 11: 39269-39294 (2023) - [j13]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): 618 (2023) - [d2]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Large-scale Wave Energy Farm. UCI Machine Learning Repository, 2023 - [i15]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 abs/2309.10606 (2023) - [i14]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 abs/2310.02591 (2023) - [i13]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 abs/2312.10992 (2023) - 2022
- [j12]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): 572 (2022) - [j11]Sajad Dadgar, Mehdi Neshat:
A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. Sensors 22(24): 9870 (2022) - [i12]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 abs/2204.12297 (2022) - 2021
- [j10]Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner:
GTOPX space mission benchmarks. SoftwareX 14: 100666 (2021) - [i11]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 abs/2112.09803 (2021) - 2020
- [j9]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: 218-244 (2020) - [j8]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: 100744 (2020) - [c8]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Optimisation of large wave farms using a multi-strategy evolutionary framework. GECCO 2020: 1150-1158 - [i10]Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner:
Design optimisation of a multi-mode wave energy converter. CoRR abs/2001.08966 (2020) - [i9]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 abs/2002.09106 (2020) - [i8]Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner:
Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. CoRR abs/2003.09594 (2020) - [i7]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 abs/2004.12794 (2020) - [i6]Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner:
GTOPX Space Mission Benchmarks. CoRR abs/2010.07517 (2020)
2010 – 2019
- 2019
- [c7]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: 1293-1301 - [c6]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: 353-366 - [d1]Mehdi Neshat, Markus Wagner, Bradley Alexander:
Wave Energy Converters. UCI Machine Learning Repository, 2019 - [i5]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 abs/1904.07043 (2019) - [i4]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 abs/1904.09599 (2019) - [i3]Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner:
Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR abs/1907.03076 (2019) - [i2]Mehdi Neshat, Bradley Alexander, Angus R. Simpson:
Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. CoRR abs/1909.04846 (2019) - [i1]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 abs/1910.01280 (2019) - 2018
- [c5]Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia:
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. GECCO 2018: 1318-1325 - 2016
- [j7]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): 132-154 (2016) - [j6]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): 168-180 (2016) - [j5]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): 1650011:1-1650011:12 (2016) - [j4]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): 1650037:1-1650037:21 (2016) - 2014
- [j3]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): 965-997 (2014) - 2013
- [j2]Mehdi Neshat, Ghodrat Sepidnam, Mehdi Sargolzaei:
Swallow swarm optimization algorithm: a new method to optimization. Neural Comput. Appl. 23(2): 429-454 (2013) - [j1]Mehdi Neshat:
FAIPSO: fuzzy adaptive informed particle swarm optimization. Neural Comput. Appl. 23(Supplement-1): 95-116 (2013) - 2012
- [c4]Ali Adeli, Mehrnoosh Sinaee, M. Javad Zomorodian, Mehdi Neshat:
Harmony-based feature selection to improve the nearest neighbor classification. CCSEIT 2012: 12-18 - [c3]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: 365-372 - 2010
- [c2]Mehdi Neshat, Abas E. Zadeh:
Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders. IEEE Conf. of Intelligent Systems 2010: 162-167 - [c1]Mehdi Neshat, Masoud Rezaei:
AIPSO: Adaptive Informed Particle Swarm Optimization. IEEE Conf. of Intelligent Systems 2010: 438-443
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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