Mehdi Neshat - RankMe

51 papers A 3B 1Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Effective Predictive Modelling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-Learning Gradient Boosting. ACM Trans. Comput. Heal. Mehdi Neshat, Michael Phipps, Nikhil Jha, Danial Khojasteh, Michael Tong, Amir H. Gandomi
2026	J	`jnl`	EvoBagNet: a decomposition-driven bagging ensemble with evolutionary hyperparameter optimization for robust stock price prediction. Neural Comput. Appl. Umar Bashir, Kuljeet Singh, Vibhakar Mansotra, Akib Mohi Ud Din Khanday, Mehdi Neshat
2025	J	`jnl`	Effective Self-Attention-Based Deep Learning Model with Evolutionary Grid Search for Robust Wave Farm Energy Forecasting. CoRR Amin Abdollahi Dehkordi, Mehdi Neshat, Nataliia Y. Sergiienko, Zahra Ghasemi, Lei Chen, John Boland, Hamid Moradkhani, Amir H. Gandomi
2025	J	`jnl`	Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm. CoRR Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland
2025	J	`jnl`	Optimizing Interplanetary Trajectories using Hybrid Meta-heuristic. CoRR Amin Abdollahi Dehkordi, Mehdi Neshat
2025	J	`jnl`	Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models. CoRR Mehdi Neshat, Menasha Thilakaratne, Mohammed El-Abd, Seyedali Mirjalili, Amir H. Gandomi, John Boland
2025	J	`jnl`	State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects. CoRR Harshika Goyal, Mohammad Saif Wajid, Mohd Anas Wajid, Akib Mohi Ud Din Khanday, Mehdi Neshat, Amir Gandomi
2024	J	`jnl`	A Technical Comparative Heart Disease Prediction Framework Using Boosting Ensemble Techniques. Comput. Najmu Nissa, Sanjay Jamwal, Mehdi Neshat
2024	J	`jnl`	Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting. CoRR Mehdi Neshat, Michael Phipps, Nikhil Jha, Danial Khojasteh, Michael Tong, Amir Hossein Gandomi
2024	B	`conf`	Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. CEC Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
2024	J	`jnl`	Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. CoRR Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
2024	J	`jnl`	Exploring Cellular Automata Learning: An Innovative Approach for Secure and Imperceptible Digital Image Watermarking. IEEE Access Iram Khurshid Bhat, Fasel Qadir, Mehdi Neshat, Amir H. Gandomi
2024	J	`jnl`	Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model. CoRR Mehdi Neshat, Michael Phipps, Chris A. Browne, Nicole T. Vargas, Seyedali Mirjalili
2023	J	`jnl`	A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. CoRR Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
2023	J	`jnl`	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 Hossein Mehdipour, Erfan Amini, Seyed Taghi Naeeni, Mehdi Neshat
2023	J	`jnl`	Adaptive Chaotic Marine Predators Hill Climbing Algorithm for Large-Scale Design Optimizations. IEEE Access Amin Abdollahi Dehkordi, Bahareh Etaati, Mehdi Neshat, Seyedali Mirjalili
2023	J	`jnl`	An Effective Ensemble Convolutional Learning Model with Fine-Tuning for Medicinal Plant Leaf Identification. Inf. Mohd Asif Hajam, Tasleem Arif, Akib Mohi Ud Din Khanday, Mehdi Neshat
2023	—	`conf`	Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs. ICMLDE Mehdi Neshat, Muktar Ahmed, Hossein Askari, Menasha Thilakaratne, Seyedali Mirjalili
2023	J	`jnl`	Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs. CoRR Mehdi Neshat, Muktar Ahmed, Hossein Askari, Menasha Thilakaratne, Seyedali Mirjalili
2022	J	`jnl`	A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media. Sensors Sajad Dadgar, Mehdi Neshat
2022	J	`jnl`	Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network. CoRR Amin Abdollahi Dehkordi, Mina Hashemi, Mehdi Neshat, Seyedali Mirjalili, Ali Safaa Sadiq
2022	J	`jnl`	Marine Online Platforms of Services to Public End-Users - The Innovation of the ODYSSEA Project. Remote. Sens. Meysam Majidi Nezhad, Mehdi Neshat, Giuseppe Piras, Davide Astiaso Garcia, Georgios K. Sylaios
2021	J	`jnl`	GTOPX space mission benchmarks. SoftwareX Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2021	J	`jnl`	Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter. CoRR Erfan Amini, Hossein Mehdipour, Emilio Faraggiana, Danial Golbaz, Sevda Mozaffari, Giovanni Bracco, Mehdi Neshat
2020	J	`jnl`	A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters. Inf. Sci. Mehdi Neshat, Bradley Alexander, Markus Wagner
2020	J	`jnl`	An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. CoRR Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
2020	J	`jnl`	Design optimisation of a multi-mode wave energy converter. CoRR Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner
2020	J	`jnl`	GTOPX Space Mission Benchmarks. CoRR Martin Schlueter, Mehdi Neshat, Mohamed Wahib, Masaharu Munetomo, Markus Wagner
2020	J	`jnl`	Hybrid Neuro-Evolutionary Method for Predicting Wind Turbine Power Output. CoRR Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, Daniele Groppi, Azim Heydari, Lina Bertling Tjernberg, Davide Astiaso Garcia, Bradley Alexander, Markus Wagner
2020	J	`jnl`	New insights into position optimisation of wave energy converters using hybrid local search. Swarm Evol. Comput. Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2020	J	`jnl`	Optimisation of Large Wave Farms using a Multi-strategy Evolutionary Framework. CoRR Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2020	A	`conf`	Optimisation of large wave farms using a multi-strategy evolutionary framework. GECCO Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2019	J	`jnl`	A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR Mehdi Neshat, Bradley Alexander, Markus Wagner
2019	J	`jnl`	A Hybrid Evolutionary Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. CoRR Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2019	A	`conf`	A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters. GECCO Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2019	J	`jnl`	A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search. CoRR Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, Markus Wagner
2019	—	`conf`	Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. ICONIP (2) Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
2019	J	`jnl`	Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation. CoRR Mehdi Neshat, Ehsan Abbasnejad, Qinfeng Shi, Bradley Alexander, Markus Wagner
2019	J	`jnl`	Covariance Matrix Adaptation Greedy Search Applied to Water Distribution System Optimization. CoRR Mehdi Neshat, Bradley Alexander, Angus R. Simpson
2018	A	`conf`	A detailed comparison of meta-heuristic methods for optimising wave energy converter placements. GECCO Mehdi Neshat, Bradley Alexander, Markus Wagner, Yuanzhong Xia
2016	J	`jnl`	A hybrid fuzzy knowledge-based system for forest fire risk forecasting. Int. J. Reason. based Intell. Syst. Mehdi Neshat, Masoud Tabatabi, Ebrahim Zahmati, Mohhammad Shirdel
2016	J	`jnl`	Designing an Adaptive Neuro Fuzzy Inference System for Prediction of Customers Satisfaction. J. Inf. Knowl. Manag. Mehdi Neshat, Ali Akbar Pourahmad, Mohammad Reza Hasani
2016	J	`jnl`	Recognising the kind of cloud using a new fuzzy knowledge-based system. Int. J. Reason. based Intell. Syst. Mehdi Neshat, Mohhammad Ahmadi
2016	J	`jnl`	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. Ali Akbar Pourahmad, Mehdi Neshat, Mohammad Reza Hasani
2014	J	`jnl`	Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications. Artif. Intell. Rev. Mehdi Neshat, Ghodrat Sepidnam, Mehdi Sargolzaei, Adel Nadjaran Toosi
2013	J	`jnl`	FAIPSO: fuzzy adaptive informed particle swarm optimization. Neural Comput. Appl. Mehdi Neshat
2013	J	`jnl`	Swallow swarm optimization algorithm: a new method to optimization. Neural Comput. Appl. Mehdi Neshat, Ghodrat Sepidnam, Mehdi Sargolzaei
2012	—	`conf`	Harmony-based feature selection to improve the nearest neighbor classification. CCSEIT Ali Adeli, Mehrnoosh Sinaee, M. Javad Zomorodian, Mehdi Neshat
2012	—	`conf`	Improving Nearest Neighbor Classification Using Particle Swarm Optimization with Novel Fitness Function. ICCCI (2) Ali Adeli, Ahmad Ghorbani-Rad, M. Javad Zomorodian, Mehdi Neshat, Saeed Mozaffari
2010	—	`conf`	AIPSO: Adaptive Informed Particle Swarm Optimization. IEEE Conf. of Intelligent Systems Mehdi Neshat, Masoud Rezaei
2010	—	`conf`	Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders. IEEE Conf. of Intelligent Systems Mehdi Neshat, Abas E. Zadeh