Muhammad Islam

Orcid: 0000-0002-2379-4451

Affiliations:
  • Qassim University, Buraidah, Saudi Arabia


According to our database1, Muhammad Islam authored at least 29 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.
Comput. Biol. Medicine, 2026

Computationally validated nonlinear control of leukemia chemotherapy using barrier-based super-twisting sliding mode with IGWO optimization.
Biomed. Signal Process. Control., 2026

2025
Optimized Attention Assisted Network for Forensic-Aware Malware Detection in Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2025

Optimizing healthcare data quality with optimal features driven mutual entropy gain.
Expert Syst. J. Knowl. Eng., February, 2025

Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach.
IET Signal Process., 2025

Autonomous network management for 6G communication: A comprehensive survey.
Digit. Commun. Networks, 2025

A deep dive into cybersecurity solutions for AI-driven IoT-enabled smart cities in advanced communication networks.
Comput. Commun., 2025

Med-ReLU: A Parameter-Free Hybrid Activation Function for Deep Artificial Neural Network Used in Medical Image Segmentation.
Comput. Mater. Continua, 2025

CNN Assisted Dual Reservoir Hybrid Network for Power Consumption Forecasting.
IEEE Access, 2025

Photovoltaic Power Forecasting for Sustainable Grid Integration: A Hybrid Deep Learning Approach.
IEEE Access, 2025

2024
Effective Video Summarization Using Channel Attention-Assisted Encoder-Decoder Framework.
Symmetry, June, 2024

Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition.
IEEE Access, 2024

2023
Exploring Cybersecurity Education and Training Techniques: A Comprehensive Review of Traditional, Virtual Reality, and Augmented Reality Approaches.
Symmetry, December, 2023

Toward a Vision-Based Intelligent System: A Stacked Encoded Deep Learning Framework for Sign Language Recognition.
Sensors, November, 2023

Deep Learning-Based Symptomizing Cyber Threats Using Adaptive 5G Shared Slice Security Approaches.
Future Internet, June, 2023

An IoT Enable Anomaly Detection System for Smart City Surveillance.
Sensors, February, 2023

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture.
Sensors, January, 2023

Computer Network Redundancy Reduction Using Video Compression.
Symmetry, 2023

Mitigation of Harmonics Using Novel Sector-Based Switching Pattern Space Vector Pulse Width Modulation.
IEEE Access, 2023

2022
An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection.
Sensors, 2022

Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM.
Sensors, 2022

To Assist Oncologists: An Efficient Machine Learning-Based Approach for Anti-Cancer Peptides Classification.
Sensors, 2022

An Efficient Pest Detection Framework with a Medium-Scale Benchmark to Increase the Agricultural Productivity.
Sensors, 2022

An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer.
Sensors, 2022

A Deep-Learning Model for Real-Time Red Palm Weevil Detection and Localization.
J. Imaging, 2022

X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques.
Comput. Syst. Sci. Eng., 2022

2021
Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network.
Sensors, 2021

Lightweight Encryption Technique to Enhance Medical Image Security on Internet of Medical Things Applications.
IEEE Access, 2021

Link and Loss Aware GW-COOP Routing Protocol for FANETs.
IEEE Access, 2021


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