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The daily life of a PhD student may differ significantly from that of an undergraduate or Masters student. There will be much more independence and very few 'taught' elements. A typical week will almost certainly include the same number of PhD study hours as a full-time job. This page will give you an idea of what daily routine will be like as a PhD student. You can see my students' sharing materials.

• Li, J., Othman, M. S., Chen, H., & Yusuf, L. M. 2024. A critical review of feature selection methods for machine learning in IoT security. International Journal of Communication Networks and Distributed Systems, 30(3), 264-312
• Al-Rahmi, W.M.; Al-Adwan, A.S.; Al-Maatouk, Q.; Othman, M.S.; Alsaud, A.R.; Almogren, A.S.; Al-Rahmi, A.M. Integrating Communication and Task–Technology Fit Theories: The Adoption of Digital Media in Learning. Sustainability 2023, 15, 8144. https://doi.org/10.3390/su15108144
• Aljabarti, Eman Attallah and Othman, Mohd Shahizan, Classification Students’ Attention in E-learning Using Machine Learning (January 8, 2023). The 2nd Global Trends in E-Learning Forum (GTEL 2023), Available at SSRN: https://ssrn.com/abstract=4320161 or http://dx.doi.org/10.2139/ssrn.4320161

No	Name	Title	File
1	Rozilawati Dollah @ Md Zain	An Ontology Based Model for Biomedical Text Classification
2	Shamini Raja Kumaran	Enhanced Classification Techniques Based on Gene Manipulation for Cancer Microarray Data
3	Dewi Octaviani	Semantic Model for Mining E-Learning Usage with Ontology and Meaningful Learning Characteristics
4	Bahram Amini Valashani	An Ontology-Based Recommender System using Scholar’s Background Knowledge
5	Arda Yunianta	Ontology-Based Semantic Heterogeneous Data Integration Framework for Learning Environment

No	Name	Title	File
1	Ernie Mazuin Mohd Yusof	Individual Level Determinants Model for Benefit Use of Business Intelligence in Malaysia Manufacturing Organizations
2	Qusay Sabah Ishaq Al-Maatouk	Social Media Utilization Model for the Improvement of Academic Performance at Malaysian Higher Education Institutions
3	Nur Shamsiah Abdul Rahman	A Model of Behaviour Intention Factors on Social Media Use for Collaborative Learning Affecting Teaching and Learning
4	Waleed Mugahed Ali Al-Rahmi	The Impact of Social Media Use in Collaborative Learning Towards Learning Performance Among Research Students
5	Mahdi Alhaji Musa	Knowledge Map, Enterprise Ontology and Lean for enhancing Business Process Re-Engineering in Healthcare

No	Name	Title	File
1.	Zhu Chaihua	A Model of Customer Stickiness for Cross-Border Social E-Commerce Platform in China
1.	Zhu Linnan	Investigating User Factors in Management Information System Adoption and Implementation in Higher Education Institutions
2.	Li Jing	Enhanced Attack Detection and Classification Techniques Based on Feature Manipulation of IOT Data for IOT Security
3.	Saleh Dhekre Saber Saleh	A Predictive Analysis Framework of Thyroid Disease Using Machine Learning Approaches
4.	Anwar Said Salim Al Talaii	Artificial Intelligence to Enhance Development and Increase Harvest Production for Agriculture in Sultant of Oman using drones

No	Name	Title	Github	Project
1.	Li Jing	Enhanced Attack Detection and Classification Techniques Based on Feature Manipulation of IOT Data for IOT Security
2.	Saleh Dhekre Saber Saleh	A Predictive Analysis Framework of Thyroid Disease Using Machine Learning Approaches
3.	Anwar Said Salim Al Talaii	Artificial Intelligence to Enhance Development and Increase Harvest Production for Agriculture in Sultant of Oman using drones
4.	Li Haopeng
5.	Zhu Linnan	Benefits of User Factors in the Context of Management Information Systems in the Higher Education Industry.
6.	Zhu Chaihua	The Credit Mechanism of E-Commerce Merchant in the Context of Social Network
7.	Franklin Degadzor Ashigbi	The post adoption determinants of sustained use of digital transformation in revenue mobilisation in Ghana
8.	Abdulaziz saidu Yalwa	Privacy preserving machine lerning for user behaviour analysis and personalisation in social media plat forms
9.	Pan Tong	Multilingual Text Clustering for Minority Languages Based on Contrastive Learning and Reinforcement Learning

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