Seyed Mohammad Jafar Jalali

According to our database, Seyed Mohammad Jafar Jalali authored at least 37 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SpinalNet: Deep Neural Network With Gradual Input.

Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan

IEEE Trans. Artif. Intell., October, 2023

Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques.

Md Kislu Noman, Syed Mohammed Shamsul Islam, Jumana Abu-Khalaf, Seyed Mohammad Jafar Jalali, Paul Lavery

Ecol. Informatics, September, 2023

Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification.

Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A novel healthy and time-aware food recommender system using attributed community detection.

Mehrdad Rostami, Vahid Farrahi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Mourad Oussalah

Expert Syst. Appl., July, 2023

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.

Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi

IEEE Trans. Ind. Informatics, March, 2023

An intelligent driven deep residual learning framework for brain tumor classification using MRI images.

Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi

Expert Syst. Appl., 2023

2022

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting.

Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi

IEEE Trans. Syst. Man Cybern. Syst., 2022

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement.

Sajad Ahmadian, Mehrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farrahi

Int. J. Comput. Intell. Syst., 2022

X-ray image based COVID-19 detection using evolutionary deep learning approach.

Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi

Expert Syst. Appl., 2022

An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization.

Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale

Expert Syst. J. Knowl. Eng., 2022

Supervised Class-pairwise NMF for Data Representation and Classification.

Rachid Hedjam, Abdelhamid Abdesselam, Seyed Mohammad Jafar Jalali, Imran Khan, Samir Brahim Belhaouari

CoRR, 2022

Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing.

Ali Al Bataineh, Devinder Kaur, Seyed Mohammad Jafar Jalali

IEEE Access, 2022

2021

A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting.

Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão

IEEE Trans. Ind. Informatics, 2021

Research trends on big data domain using text mining algorithms.

Seyed Mohammad Jafar Jalali, Han Woo Park, Iman Raeesi Vanani, Kim-Hung Pho

Digit. Scholarsh. Humanit., 2021

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).

Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi

Comput. Biol. Medicine, 2021

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis.

Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi

Appl. Soft Comput., 2021

Lightning search algorithm: a comprehensive survey.

Laith Mohammad Abualigah, Mohamed Abd El-Aziz, Abdelazim G. Hussien, Bisan Alsalibi, Seyed Mohammad Jafar Jalali, Amir H. Gandomi

Appl. Intell., 2021

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems.

Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System.

Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.

Seyed Mohammad Jafar Jalali, Mahdi Khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shamsul Islam, Fei Wang, João P. S. Catalão

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020

Neuroevolution-based autonomous robot navigation: A comparative study.

Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi

Cogn. Syst. Res., 2020

Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays.

Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study.

Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Neural Network Training Using a Biogeography-Based Learning Strategy.

Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training.

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, Iakov Korovin

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Optimising Control and Prediction Horizons of a Model Predictive Control-Based Motion Cueing Algorithm Using Butterfly Optimization Algorithm.

Mohammad Reza Chalak Qazani, Seyed Mohammad Jafar Jalali, Houshyar Asadi, Saeid Nahavandi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Evaluation of Research Trends in Knowledge Management: A Hybrid Analysis through Burst Detection and Text Clustering.

Babak Sohrabi, Iman Raeesi Vanani, Seyed Mohammad Jafar Jalali, Ehsan Abedin

J. Inf. Knowl. Manag., 2019

Can we trace back hotel online reviews' characteristics using gamification features?

Sérgio Moro, Pedro Ramos, Joaquim Esmerado, Seyed Mohammad Jafar Jalali

Int. J. Inf. Manag., 2019

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks.

Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution.

Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An efficient Neuroevolution Approach for Heart Disease Detection.

Seyed Mohammad Jafar Jalali, Mina Karimi, Abbas Khosravi, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm.

Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.

Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease.

Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi

Proceedings of the IEEE International Conference on Industrial Technology, 2019

Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties.

Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties.

Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

A comparative analysis of emerging scientific themes in business analytics.

Iman Raeesi Vanani, Seyed Mohammad Jafar Jalali

Int. J. Bus. Inf. Syst., 2018