Raghad Al-Shabandar

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Learning Outcomes

Comparative Study

Top Venues

Publications

Raghad Al-Shabandar, Ali Jaddoa, Abir Hussain
A Risk Model for Assessing Exposure Factors Influence Oil Price Fluctuations. ICIC (5) (2023)
Ahmed Mohamed Abdou Ahmed, Abdulaziz Al-Nahari, Raghad Al-Shabandar, Chong Kim Loy, A. H. Mohammed
Telecom Customer Experience Analysis Using Sentiment Analysis and Natural Language Processing - Comparative Study. DaSET (2023)
Saurabh Gupta, Raghad Al-Shabandar, Chong Kim Loy, Ammar H. Mohammed
Multivariate Comparative Analysis of Statistical and Deep Learning Models for Prediction Hardware Failure. DaSET (2023)
Raghad Al-Shabandar, Ali Jaddoa, A. H. Mohammed, Abir Jaafar Hussain
Intelligent Measuring for a Customer Satisfaction Level Inspired by Transformation Language Model. DeSE (2023)
Raghad Al-Shabandar, Abir Hussain, Robert Keight, Wasiq Khan
Students Performance Prediction in Online Courses Using Machine Learning Algorithms. IJCNN (2020)
Zayneb Ahmed, Abir Jaafar Hussain, Wasiq Khan, Thar Baker, Haya Al-Askar, Janet Lunn, Raghad Al-Shabandar, Dhiya Al-Jumeily, Panos Liatsis
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. Remote. Sens. 12 (6) (2020)
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques. IEEE Access 7 (2019)
Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, Huiru Zheng
The Application of Artificial Intelligence in Financial Compliance Management. AIAM (2019)
Raghad Al-Shabandar, Abir Jaafar Hussain, Panos Liatsis, Robert Keight
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access 6 (2018)
Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC (2018)
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn, Naeem Radi
Machine learning approaches to predict learning outcomes in Massive open online courses. IJCNN (2017)
Raghad Al-Shabandar, Abir Hussain, Andy Laws, Robert Keight, Janet Lunn
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. ICIC (1) (2017)