Seyed Mohammad Jafar Jalali

Orcid: 0000-0002-2169-4350

According to our database1, Seyed Mohammad Jafar Jalali authored at least 40 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis.
Expert Syst. J. Knowl. Eng., April, 2024

A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation.
Knowl. Based Syst., 2024

RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting.
Proceedings of the 16th International Conference on Electronics, 2024

2023
SpinalNet: Deep Neural Network With Gradual Input.
IEEE Trans. Artif. Intell., October, 2023

Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques.
Ecol. Informatics, September, 2023

Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A novel healthy and time-aware food recommender system using attributed community detection.
Expert Syst. Appl., July, 2023

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, March, 2023

An intelligent driven deep residual learning framework for brain tumor classification using MRI images.
Expert Syst. Appl., 2023

2022
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement.
Int. J. Comput. Intell. Syst., 2022

X-ray image based COVID-19 detection using evolutionary deep learning approach.
Expert Syst. Appl., 2022

An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization.
Expert Syst. J. Knowl. Eng., 2022

Supervised Class-pairwise NMF for Data Representation and Classification.
CoRR, 2022

Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing.
IEEE Access, 2022

2021
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting.
IEEE Trans. Ind. Informatics, 2021

Research trends on big data domain using text mining algorithms.
Digit. Scholarsh. Humanit., 2021

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).
Comput. Biol. Medicine, 2021

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis.
Appl. Soft Comput., 2021

Lightning search algorithm: a comprehensive survey.
Appl. Intell., 2021

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems.
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.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020
Neuroevolution-based autonomous robot navigation: A comparative study.
Cogn. Syst. Res., 2020

Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Neural Network Training Using a Biogeography-Based Learning Strategy.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training.
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.
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.
J. Inf. Knowl. Manag., 2019

Can we trace back hotel online reviews' characteristics using gamification features?
Int. J. Inf. Manag., 2019

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An efficient Neuroevolution Approach for Heart Disease Detection.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties.
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.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
A comparative analysis of emerging scientific themes in business analytics.
Int. J. Bus. Inf. Syst., 2018


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