Search Results - "Zabil, Mohd Hazli Mohamed"

Software Project Management Using Machine Learning Technique—A Review by Mahdi, Mohammed Najah, Mohamed Zabil, Mohd Hazli, Ahmad, Abdul Rahim, Ismail, Roslan, Yusoff, Yunus, Cheng, Lim Kok, Azmi, Muhammad Sufyian Bin Mohd, Natiq, Hayder, Happala Naidu, Hushalini

“…Project management planning and assessment are of great significance in project performance activities. Without a realistic and logical plan, it isn’t easy to…”
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Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study by Lim, Jun-Hao, Lim, Cordelia-Kheng-May, Ibrahim, Imliya, Syahrul, Jazlina, Mohamed Zabil, Mohd Hazli, Zakaria, Nor Fadhlina, Daud, Zulfitri Azuan Mat

“…With the unprecedented growth of mobile technology, a plethora of dialysis diet apps have been developed to promote patient dietary self-management…”
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Image Denoising Using Hybrid Deep Learning Approach and Self-Improved Orca Predation Algorithm by Jebur, Rusul Sabah, Zabil, Mohd Hazli Bin Mohamed, Hammood, Dalal Abdulmohsin, Cheng, Lim Kok, Al-Naji, Ali

“…Image denoising is a critical task in computer vision aimed at removing unwanted noise from images, which can degrade image quality and affect visual details…”
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A Systematic Review on English Language e-Learning Technologies by Lin, Evelyn Yeap Ewe, Lim, Kok Cheng, Faudzi, Masyura Ahmad, Zabil, Mohd Hazli Mohamed, Omar, Ridha, Selamat, Ali, Krejcar, Ondrej

“…Language e-learning technologies (LELT) is an emerging area focusing on application of computing technologies in language learning of all kinds. Being a…”
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Sequence-based interaction testing implementation using Bees Algorithm by Hazli, Mohamed Zabil Mohd, Zamli, Kamal Z., Othman, Rozmie R.

“…T-way strategies is used to generate test data to detect faults due to interaction. In the literature, there are many t-way strategies developed by researchers…”
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A comprehensive review of image denoising in deep learning by Jebur, Rusul Sabah, Zabil, Mohd Hazli Bin Mohamed, Hammood, Dalal Adulmohsin, Cheng, Lim Kok

“…Deep learning has gained significant interest in image denoising, but there are notable distinctions in the types of deep learning methods used. Discriminative…”
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Comparing the Accuracy of Hierarchical Agglomerative and K-means Clustering on Mobile Augmented Reality Usability Metrics by Cheng, Lim Kok, Selamat, Ali, Zabil, Mohd Hazli Mohamed, Selamat, Md Hafiz, Alias, Rose Alinda, Puteh, Fatimah, Mohamed, Farhan, Krejcar, Ondrej

“…This article presents the experimental work of comparing the performances of two machine learning approaches, namely Hierarchical Agglomerative Clustering and…”
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Pre-processing of gender-based comparative usability performance data in Mobile Augmented Reality English language teaching by Lim, Kok Cheng, Selamat, Ali, Ghani, Nor Azura Md, Zabil, Mohd Hazli Mohamed, Alias, Rose Alinda, Puteh, Fatimah

“…This article is part of this research group's work on a larger scale project prioritization of usability data in Mobile Augmented Reality learning…”
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An Implementation Review of Occlusion-Based Interaction in Augmented Reality Environment by Shahidan, M.S., Ibrahim, N., Zabil, M., Yusof, A.

“…Augmented reality (AR) technology shows some potential in providing new approach of interaction with computer. It shares similar potential in virtual reality…”
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