Raghad Al-Shabandar

15 papers B 3C 1Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Transformer-Based Multi-Modal Indoor Localization in RIS-Assisted Wireless Networks. IEEE Open J. Commun. Soc. Osamah Ali Abdullah, Akram Y. Sarhan, Raghad Al-Shabandar, Hayder Al-Hraishawi
2024	J	`jnl`	Auto-assessment of assessment: A conceptual framework towards fulfilling the policy gaps in academic assessment practices. CoRR Wasiq Khan, Luke K. Topham, Peter Atherton, Raghad Al-Shabandar, Hoshang Kolivand, Iftikhar Khan, Abir Hussain
2023	—	`conf`	A Risk Model for Assessing Exposure Factors Influence Oil Price Fluctuations. ICIC (5) Raghad Al-Shabandar, Ali Jaddoa, Abir Hussain
2023	C	`conf`	Intelligent Measuring for a Customer Satisfaction Level Inspired by Transformation Language Model. DeSE Raghad Al-Shabandar, Ali Jaddoa, A. H. Mohammed, Abir Jaafar Hussain
2023	—	`conf`	Multivariate Comparative Analysis of Statistical and Deep Learning Models for Prediction Hardware Failure. DaSET Saurabh Gupta, Raghad Al-Shabandar, Chong Kim Loy, Ammar H. Mohammed
2023	—	`conf`	Telecom Customer Experience Analysis Using Sentiment Analysis and Natural Language Processing - Comparative Study. DaSET Ahmed Mohamed Abdou Ahmed, Abdulaziz Al-Nahari, Raghad Al-Shabandar, Chong Kim Loy, A. H. Mohammed
2020	J	`jnl`	Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. Remote. Sens. Zaynab Ahmed, Abir Jaafar Hussain, Wasiq Khan, Thar Baker, Haya Al-Askar, Janet Lunn, Raghad Al-Shabandar, Dhiya Al-Jumeily, Panos Liatsis
2020	B	`conf`	Students Performance Prediction in Online Courses Using Machine Learning Algorithms. IJCNN Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan
2019	J	`jnl`	Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
2019	—	`conf`	The Application of Artificial Intelligence in Financial Compliance Management. AIAM (ACM) Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, Huiru Zheng
2019	—	`—`	The application of machine learning for early detection of at-risk learners in Massive Open Online Courses. Raghad Al-Shabandar
2018	J	`jnl`	Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
2018	B	`conf`	The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker
2017	B	`conf`	Machine learning approaches to predict learning outcomes in Massive open online courses. IJCNN Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi
2017	—	`conf`	Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. ICIC (1) Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn