Ghulam Mujtaba

Orcid: 0000-0003-2107-3738

Affiliations:
  • Sukkur IBA University, Center of Excellence for Robotics, Artificial Intelligence and Blockchain, Pakistan
  • University of Malaya, Faculty of Computer Science and Information Technology, Kuala Lumpur, Malaysia (PhD)


According to our database1, Ghulam Mujtaba authored at least 38 papers between 2013 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
Multi-object tracking: a systematic literature review.
Multim. Tools Appl., April, 2024

2023
Urdu Speech Emotion Recognition: A Systematic Literature Review.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

2022
Convolutional neural network-based cross-corpus speech emotion recognition with data augmentation and features fusion.
Mach. Vis. Appl., 2022

A novel offline handwritten text recognition technique to convert ruled-line text into digital text through deep neural networks.
Multim. Tools Appl., 2022

Prediction of Pakistani Honey Authenticity Through Machine Learning.
IEEE Access, 2022

2021
Correction to: Deep learning approaches for speech emotion recognition: state of the art and research challenges.
Multim. Tools Appl., 2021

Deep learning approaches for speech emotion recognition: state of the art and research challenges.
Multim. Tools Appl., 2021

Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges.
Expert Syst. Appl., 2021

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review.
IEEE Access, 2021

2020
Image Interpolation via Gradient Correlation-Based Edge Direction Estimation.
Sci. Program., 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

Diabetic retinopathy detection through artificial intelligent techniques: a review and open issues.
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

Text-Independent Speaker Identification Through Feature Fusion and Deep Neural Network.
IEEE Access, 2020

2019
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions.
Inf. Fusion, 2019

A bibliometric analysis of m-learning from topic inception to 2015.
Int. J. Mob. Learn. Organisation, 2019

Multi-sensor fusion based on multiple classifier systems for human activity identification.
Hum. centric Comput. Inf. Sci., 2019

Clinical text classification research trends: Systematic literature review and open issues.
Expert Syst. Appl., 2019

Efficient Edge-Based Image Interpolation Method Using Neighboring Slope Information.
IEEE Access, 2019

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

2018
Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.
J. Medical Syst., 2018

Classification of forensic autopsy reports through conceptual graph-based document representation model.
J. Biomed. Informatics, 2018

Analysis of Online Social Network Connections for Identification of Influential Users: Survey and Open Research Issues.
ACM Comput. Surv., 2018

Social Media Recommender Systems: Review and Open Research Issues.
IEEE Access, 2018

Analysis of Multi-Sensor Fusion for Mobile and Wearable Sensor Based Human Activity Recognition.
Proceedings of the International Conference on Data Processing and Applications, 2018

Automatic Speaker Identification through Robust Time Domain Features and Hierarchical Classification Approach.
Proceedings of the International Conference on Data Processing and Applications, 2018

2017
Multi-Class Disease Classification in Brain MRIs Using a Computer-Aided Diagnostic System.
Symmetry, 2017

Recognition of Traffic Sign Based on Bag-of-Words and Artificial Neural Network.
Symmetry, 2017

Email Classification Research Trends: Review and Open Issues.
IEEE Access, 2017

Concept of Entire Boolean Values Recalculation From Aggregates in the Preprocessed Category of Incomplete Soft Sets.
IEEE Access, 2017

Hierarchical Text Classification of Autopsy Reports to Determine MoD and CoD Through Term-Based and Concepts-Based Features.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

2016
Using online social networks to track a pandemic: A systematic review.
J. Biomed. Informatics, 2016

Virtual Community Detection Through the Association between Prime Nodes in Online Social Networks and Its Application to Ranking Algorithms.
IEEE Access, 2016

Automatic Text Classification of ICD-10 Related CoD from Complex and Free Text Forensic Autopsy Reports.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Mobile-Based Intelligent Transportation for Bus Commuters Based on Twitter Analytics.
Proceedings of the International Conference on Frontiers of Information Technology, 2016

2014
Dynamic personalization in conversational recommender systems.
Inf. Syst. E Bus. Manag., 2014

2013
Adaptive Automated Teller Machines.
Expert Syst. Appl., 2013


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