Items where Author is "Tahir, Ghalib Ahmed"

Article

Liu, Zongying and Tahir, Ghalib Ahmed and Masuyama, Naoki and Kakudi, Habeebah Adamu and Fu, Zhongyu and Pasupa, Kitsuchart (2023) Error-output recurrent multi-layer Kernel Reservoir Network for electricity load time series forecasting. Engineering Applications of Artificial Intelligence, 117 (A). ISSN 0952-1976, DOI https://doi.org/10.1016/j.engappai.2022.105611.

Kong, Nadine Alvina and Moy, Foong Ming and Ong, Shu Hwa and Tahir, Ghalib Ahmed and Loo, Chu Kiong (2023) MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. Digital Health, 9. ISSN 2055-2076, DOI https://doi.org/10.1177/20552076221149320.

Liu, Zongying and Hao, Jiangling and Yang, Dongrui and Tahir, Ghalib Ahmed and Pan, Mingyang (2022) A novel reformed reduced kernel extreme learning machine with RELIEF-F for classification. Computational Intelligence and Neuroscience, 2022. ISSN 1687-5265, DOI https://doi.org/10.1155/2022/4795535.

Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Explainable deep learning ensemble for food image analysis on edge devices. Computers in Biology and Medicine, 139. ISSN 0010-4825, DOI https://doi.org/10.1016/j.compbiomed.2021.104972.

Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment. Healthcare, 9 (12). ISSN 2227-9032, DOI https://doi.org/10.3390/healthcare9121676.

Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Progressive kernel extreme learning machine for food image analysis via optimal features from quality resilient CNN. Applied Sciences-Basel, 11 (20). ISSN 2076-3417, DOI https://doi.org/10.3390/app11209562.

Tahir, Ghalib Ahmed and Loo, Chu Kiong (2021) Explainable deep learning ensemble for food image analysis on edge devices. Computers in Biology and Medicine, 139. p. 104972. ISSN 0010-4825, DOI https://doi.org/10.1016/j.compbiomed.2021.104972.

Tahir, Ghalib Ahmed and Loo, Chu Kiong (2020) An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines. IEEE Access, 8. pp. 82328-82346. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2020.2991810.