Wessam M. Salama

Orcid: 0009-0008-8699-294X

According to our database1, Wessam M. Salama authored at least 16 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Statistical analysis of adaptive rate and power control in urban FSO drone networks using RL-DQN-A2C.
Comput. Networks, 2026

C-GA-TVCG: A Hybrid Deep Learning Framework for Robust, Scalable, and Energy-Efficient SS-FGSM Detection in Underwater Acoustic Communication Systems.
Comput. Electr. Eng., 2026

Advanced detection of myositis muscle images based on regional enhanced deep learning models integrated with SVM and image processing techniques.
Biomed. Signal Process. Control., 2026

2024
Web-Based Integrated School Management System for Enhanced Student-Teacher and Resource Accessibility.
Proceedings of the 34th International Conference on Computer Theory and Applications, 2024

2023
Workspace Mobile Application Finder Based on Machine Learning Approach.
Proceedings of the 33rd International Conference on Computer Theory and Applications, 2023

Skin Diseases Detection Based on Deep Learning Models.
Proceedings of the 33rd International Conference on Computer Theory and Applications, 2023

2022
Automated deep learning approach for classification of malignant melanoma and benign skin lesions.
Multim. Tools Appl., 2022

A generalized framework for lung Cancer classification based on deep generative models.
Multim. Tools Appl., 2022

A novel framework for brain tumor detection based on convolutional variational generative models.
Multim. Tools Appl., 2022

2021
Deep learning design for benign and malignant classification of skin lesions: a new approach.
Multim. Tools Appl., 2021

Prostate cancer detection based on deep convolutional neural networks and support vector machines: a novel concern level analysis.
Multim. Tools Appl., 2021

Lung CT Image Segmentation: A Generalized Framework Based on U-Net Architecture and Preprocessing Models.
Proceedings of the 31st International Conference on Computer Theory and Applications, 2021

Chaotic Maps Based Video Encryption: A New Approach.
Proceedings of the 31st International Conference on Computer Theory and Applications, 2021

2020
Novel breast cancer classification framework based on deep learning.
IET Image Process., 2020

New video encryption schemes based on chaotic maps.
IET Image Process., 2020

2019
ArMTFr: a new permutation-based image encryption scheme.
Int. J. Electron. Secur. Digit. Forensics, 2019


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