Ghalib Ahmed Tahir

According to our database, Ghalib Ahmed Tahir authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available Datasets.

Ghalib Ahmed Tahir

CoRR, 2024

Investigating the Impact of Project Risks on Employee Turnover Intentions in the IT Industry of Pakistan.

Ghalib Ahmed Tahir, Ashraf Murtaza

CoRR, 2024

2022

SEG-FOOD Semantic Food Segmentation Through Deep Learning.

Ghalib Ahmed Tahir, Chu Kiong Loo

Dataset, May, 2022

Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble.

Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu

CoRR, 2022

Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN.

Ghalib Ahmed Tahir, Tahir Chu, Chu Kiong Loo

CoRR, 2022

2021

Food/Non-food Image Classification.

Ghalib Ahmed Tahir, Loo Chu Kiong

Dataset, February, 2021

Prediction of Child Birth Weight Using Kernel Extreme Reservoir Machine and QPSO for Optimization.

Ghalib Ahmed Tahir, Tooba Samad, Zongying Liu, Sundus Abrar, Ashraf Murtaza, Hammad Qureshi

SN Comput. Sci., 2021

CVEH: A Dynamic Framework To Profile Vehicle Movements To Mitigate Hit And Run Cases Using Crowdsourcing.

Attiq Ur Rehman, Asad Waqar Malik, Anis Ur Rahman, Sohail Iqbal, Ghalib Ahmed Tahir

CoRR, 2021

A Review of the Vision-based Approaches for Dietary Assessment.

Ghalib Ahmed Tahir, Chu Kiong Loo

CoRR, 2021

Explainable deep learning ensemble for food image analysis on edge devices.

Ghalib Ahmed Tahir, Chu Kiong Loo

Comput. Biol. Medicine, 2021

2020

MF-150: Multilabel Malaysian Foods Dataset For Ingredient Detection.

Ghalib Ahmed Tahir, Loo Chu Kiong

Dataset, December, 2020

Persistent And Scalable JADE: A Cloud based InMemory Multi-agent Framework.

Nauman Khalid, Ghalib Ahmed Tahir, Peter Bloodsworth

CoRR, 2020

Evaluation Of Issues, Usability And Functionality Of Dietary Related Mobile Applications: A Systematic Literature Review.

Ghalib Ahmed Tahir, Chu Kiong Loo, Foong Ming Moy, Nadine Kong

CoRR, 2020

An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines.

Ghalib Ahmed Tahir, Chu Kiong Loo

IEEE Access, 2020

Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering.

Ghalib Ahmed Tahir, Chu Kiong Loo

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine.

Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota, Ghalib Ahmed Tahir

Proceedings of the International Symposium on Community-centric Systems, 2020

2012

Elastic JADE: Dynamically Scalable Multi Agents Using Cloud Resources.

Umar Siddiqui, Ghalib Ahmed Tahir, Attiq Ur Rehman, Zahra Ali, Raihan Ur Rasool, Peter Bloodsworth

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012