Raghad Al-Shabandar

15 papers B 3C 1Journal 5Unranked 5
YearRankTypeTitle / 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