Ghulam Murtaza

Orcid: 0000-0003-0318-7168

Affiliations:
  • University of Malaya, Faculty of Computer Science and Information Technology, Kuala Lumpur, Malaysia


According to our database1, Ghulam Murtaza authored at least 12 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Face forgery detection via optimum deep convolution activation feature selection algorithm using expert-generated images.
Multim. Tools Appl., 2023

2022
A two-step clustering to minimize redundant transmission in wireless sensor network using sleep-awake mechanism.
Wirel. Networks, 2022

2021
A hybridization strategy using equal and unequal clustering schemes to mitigate idle listening for lifetime maximization of wireless sensor network.
Wirel. Networks, 2021

Machine learning-based offline signature verification systems: A systematic review.
Signal Process. Image Commun., 2021

A tree-based multiclassification of breast tumor histopathology images through deep learning.
Comput. Medical Imaging Graph., 2021

Hybrid ResNet: A Shallow Deep Learning Architecture for Moderate Datasets.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020
Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System.
Sensors, 2020

Ensembled deep convolution neural network-based breast cancer classification with misclassification reduction algorithms.
Multim. Tools Appl., 2020

Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach.
Multim. Tools Appl., 2020

Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges.
Artif. Intell. Rev., 2020

Heterogeneous Energy and Traffic Aware Sleep-Awake Cluster-Based Routing Protocol for Wireless Sensor Network.
IEEE Access, 2020

2019
Predicting Cyberbullying on Social Media in the Big Data Era Using Machine Learning Algorithms: Review of Literature and Open Challenges.
IEEE Access, 2019


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