Mohammad Saber Iraji

Orcid: 0000-0003-3825-7285

According to our database1, Mohammad Saber Iraji authored at least 13 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Semi-supervised generative adversarial networks for imbalanced skin lesion diagnosis with an unbiased generator and informative images.
Eng. Appl. Artif. Intell., 2025

2024
A novel interpolation consistency for bad generative adversarial networks (IC-BGAN).
Multim. Tools Appl., November, 2024

Image classification with consistency-regularized bad semi-supervised generative adversarial networks: a visual data analysis and synthesis.
Vis. Comput., October, 2024

A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis.
Appl. Intell., October, 2024

Improved COVID-19 Diagnosis Using a Hybrid Transfer Learning Model with Fuzzy Edge Detection on CT Scan Images.
Adv. Fuzzy Syst., 2024

2022
MMF Clustering: A On-demand One-hop Cluster Management in MANET Services Executing Perspective.
Wirel. Pers. Commun., 2022

Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method.
Comput. Biol. Medicine, 2022

2021
Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm.
CoRR, 2021

COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images.
Complex., 2021

Increasing the quality of services and resource utilization in vehicular cloud computing using best host selection methods.
Clust. Comput., 2021

2019
Combining predictors for multi-layer architecture of adaptive fuzzy inference system.
Cogn. Syst. Res., 2019

Prediction of fetal state from the cardiotocogram recordings using neural network models.
Artif. Intell. Medicine, 2019

2017
Multi-layer architecture for adaptive fuzzy inference system with a large number of input features.
Cogn. Syst. Res., 2017


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