Muhammad Tahir

Orcid: 0000-0002-7450-5840

Affiliations:
  • Saudi Electronic University, Riyadh, Saudi Arabia
  • City University of Science and Information Technology, Peshawar, Pakistan (2014 - 2015)
  • Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan (PhD 2014)


According to our database1, Muhammad Tahir authored at least 16 papers between 2012 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Image colorization: A survey and dataset.
Inf. Fusion, 2025

2024
An effective machine learning-based model for the prediction of protein-protein interaction sites in health systems.
Neural Comput. Appl., January, 2024

2022
Efficient link prediction model for real-world complex networks using matrix-forest metric with local similarity features.
J. Complex Networks, August, 2022

Deep localization of subcellular protein structures from fluorescence microscopy images.
Neural Comput. Appl., 2022

Estimating Performance Efficiency of Mining and Extracting Sectors Using DEA Models: The Case of Jordan.
Complex., 2022

Image Aesthetic Assessment: A Comparative Study of Hand-Crafted & Deep Learning Models.
IEEE Access, 2022

2021
A Systematic Review of Online Exams Solutions in E-Learning: Techniques, Tools, and Global Adoption.
IEEE Access, 2021

2020
A Systematic Review on Online Exams Solutions in E-learning: Techniques, Tools, and Global Adoption.
CoRR, 2020

A Reliable Communication and Load Balancing Scheme for Resource-Limited Networks.
IEEE Access, 2020

Discrimination of Golgi Proteins Through Efficient Exploitation of Hybrid Feature Spaces Coupled With SMOTE and Ensemble of Support Vector Machine.
IEEE Access, 2020

Brain MRI Classification Using Gradient Boosting.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
Deep localization of protein structures in fluorescence microscopy images.
CoRR, 2019

2016
Protein subcellular localization of fluorescence microscopy images: Employing new statistical and Texton based image features and SVM based ensemble classification.
Inf. Sci., 2016

2013
MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification.
Comput. Biol. Medicine, 2013

Subcellular localization using fluorescence imagery: Utilizing ensemble classification with diverse feature extraction strategies and data balancing.
Appl. Soft Comput., 2013

2012
Protein subcellular localization of fluorescence imagery using spatial and transform domain features.
Bioinform., 2012


  Loading...