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Ghalib Ahmed Tahir
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2020 – today
- 2024
- [i8]Ghalib Ahmed Tahir, Ashraf Murtaza:
Investigating the Impact of Project Risks on Employee Turnover Intentions in the IT Industry of Pakistan. CoRR abs/2403.14675 (2024) - [i7]Ghalib Ahmed Tahir:
Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available Datasets. CoRR abs/2409.10533 (2024) - 2022
- [d3]Ghalib Ahmed Tahir, Chu Kiong Loo:
SEG-FOOD Semantic Food Segmentation Through Deep Learning. IEEE DataPort, 2022 - [i6]Ghalib Ahmed Tahir, Tahir Chu, Chu Kiong Loo:
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN. CoRR abs/2205.07348 (2022) - [i5]Ghalib Ahmed Tahir, Chu Kiong Loo, Zongying Liu:
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble. CoRR abs/2206.05853 (2022) - 2021
- [j3]Ghalib Ahmed Tahir
, Chu Kiong Loo
Explainable deep learning ensemble for food image analysis on edge devices. Comput. Biol. Medicine 139: 104972 (2021) - [j2]Ghalib Ahmed Tahir, Tooba Samad, Zongying Liu, Sundus Abrar, Ashraf Murtaza
Prediction of Child Birth Weight Using Kernel Extreme Reservoir Machine and QPSO for Optimization. SN Comput. Sci. 2(3): 218 (2021) - [d2]Ghalib Ahmed Tahir, Loo Chu Kiong:
Food/Non-food Image Classification. IEEE DataPort, 2021 - [i4]Ghalib Ahmed Tahir, Chu Kiong Loo:
A Review of the Vision-based Approaches for Dietary Assessment. CoRR abs/2106.11776 (2021) - [i3]Attiq Ur Rehman, Asad Waqar Malik, Anis Ur Rahman, Sohail Iqbal, Ghalib Ahmed Tahir:
CVEH: A Dynamic Framework To Profile Vehicle Movements To Mitigate Hit And Run Cases Using Crowdsourcing. CoRR abs/2107.04026 (2021) - 2020
- [j1]Ghalib Ahmed Tahir
An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access 8: 82328-82346 (2020) - [c3]Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota, Ghalib Ahmed Tahir:
A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine. CcS 2020: 1-7 - [c2]Ghalib Ahmed Tahir, Chu Kiong Loo:
Mitigating Catastrophic Forgetting In Adaptive Class Incremental Extreme Learning Machine Through Neuron Clustering. SMC 2020: 3903-3910 - [d1]Ghalib Ahmed Tahir, Loo Chu Kiong:
MF-150: Multilabel Malaysian Foods Dataset For Ingredient Detection. IEEE DataPort, 2020 - [i2]Ghalib Ahmed Tahir, Chu Kiong Loo, Foong Ming Moy, Nadine Kong:
Evaluation Of Issues, Usability And Functionality Of Dietary Related Mobile Applications: A Systematic Literature Review. CoRR abs/2008.09883 (2020) - [i1]Nauman Khalid, Ghalib Ahmed Tahir, Peter Bloodsworth:
Persistent And Scalable JADE: A Cloud based InMemory Multi-agent Framework. CoRR abs/2009.06425 (2020)
2010 – 2019
- 2012
- [c1]Umar Siddiqui, Ghalib Ahmed Tahir, Attiq Ur Rehman, Zahra Ali, Raihan Ur Rasool
Elastic JADE: Dynamically Scalable Multi Agents Using Cloud Resources. CGC 2012: 167-172
Coauthor Index
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