Muhammad Hanif

Orcid: 0000-0002-9236-5263

Affiliations:
  • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Machine Intelligence Research Group, MInG, Topi, Pakistan
  • Italian National Research Council, Pisa, Italy (2017 - 2018)
  • Australian National University, NICTA / Canberra Research Laboratory, ACT, Australia (PhD 2015)


According to our database1, Muhammad Hanif authored at least 27 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Discriminative Dictionary Learning Using Penalized Rank-1 Approximation for Breast Cancer Classification With Imbalanced Dataset.
IEEE Access, 2024

2023
Blind bleed-through removal in color ancient manuscripts.
Multim. Tools Appl., March, 2023

Dictionary-enabled efficient training of ConvNets for image classification.
Image Vis. Comput., 2023

Network load prediction and anomaly detection using ensemble learning in 5G cellular networks.
Comput. Commun., 2023

Bioacoustics Signal Classification Using Hybrid Feature Space with Machine Learning.
Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

2022
A machine learning-based approach for the segmentation and classification of malignant cells in breast cytology images using gray level co-occurrence matrix (GLCM) and support vector machine (SVM).
Neural Comput. Appl., 2022

Clustering uncertain graphs using ant colony optimization (ACO).
Neural Comput. Appl., 2022

2021
Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net.
Sensors, 2021

An effective genetic algorithm-based feature selection method for intrusion detection systems.
Comput. Secur., 2021

2020
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval.
CoRR, 2020

Mobile fog computing security: A user-oriented smart attack defense strategy based on DQL.
Comput. Commun., 2020

Tracking area list allocation scheme based on overlapping community algorithm.
Comput. Networks, 2020

A Fast Non-Redundant Feature Selection Technique for Text Data.
IEEE Access, 2020

2018
Non-Local Sparse Image Inpainting for Document Bleed-Through Removal.
J. Imaging, 2018

Document Bleed-Through Removal Using Sparse Image Inpainting.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

A First Step Towards NLP from Digitized Manuscripts: Virtual Restoration.
Proceedings of the 5th IEEE International Congress on Information Science and Technology, 2018

2017
Restoration of Ancient Documents Using Sparse Image Representation.
ERCIM News, 2017

Sparse Representation Based Inpainting for the Restoration of Document Images Affected by Bleed-Through.
Proceedings of the IWCIM 2017, 2017

2015
A sequential dictionary learning algorithm with enforced sparsity.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Non-Local Noise Estimation for Adaptive Image Denoising.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014
Maximum likelihood orthogonaldictionary learning.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

An effective image restoration using Kullback-Leibler divergence minimization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Blind image deblurring using non-negative sparse approximation.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
An EM-based hybrid Fourier-wavelet image deconvolution algorithm.
Proceedings of the IEEE International Conference on Image Processing, 2013

Parallel phase unwrapping in 3D shape measurement using digital fringe projection technique.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
A Kullback-Leibler divergence approach for wavelet-based blind image deconvolution.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012


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