Muhammad Yaqub

Orcid: 0000-0003-4382-5240

According to our database1, Muhammad Yaqub authored at least 12 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data.
Biomed. Signal Process. Control., 2025

2024
Support vector machine approach of malicious user identification in cognitive radio networks.
Wirel. Networks, August, 2024

Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps.
CoRR, 2024

ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
1D Convolutional LSTM-based wind power prediction integrated with <i>PkNN</i> data imputation technique.
J. King Saud Univ. Comput. Inf. Sci., December, 2023

A systematic literature review on lake water level prediction models.
Environ. Model. Softw., May, 2023

Contextual information extraction in brain tumour segmentation.
IET Image Process., 2023

Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images.
CoRR, 2023

Empowering Biomedical Health with Federated Learning: Addressing Privacy and Data Sharing for Enhanced Disease Detection and Diagnosis.
Proceedings of the 8th IEEE International Conference on Network Intelligence and Digital Content, 2023

2022
An Early Warning System for Earthquake Prediction from Seismic Data Using Batch Normalized Graph Convolutional Neural Network with Attention Mechanism (BNGCNNATT).
Sensors, 2022

2020
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis.
BMC Medical Informatics Decis. Mak., 2020

Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis.
BMC Medical Informatics Decis. Mak., 2020


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