Raghad Al-Shabandar
According to our database1,
Raghad Al-Shabandar
authored at least 13 papers
between 2017 and 2023.
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Bibliography
2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Intelligent Measuring for a Customer Satisfaction Level Inspired by Transformation Language Model.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Multivariate Comparative Analysis of Statistical and Deep Learning Models for Prediction Hardware Failure.
Proceedings of the Data Science and Emerging Technologies, 2023
Telecom Customer Experience Analysis Using Sentiment Analysis and Natural Language Processing - Comparative Study.
Proceedings of the Data Science and Emerging Technologies, 2023
2020
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics.
Remote. Sens., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
The application of machine learning for early detection of at-risk learners in Massive Open Online Courses.
PhD thesis, 2019
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
IEEE Access, 2019
Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019
2018
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach.
IEEE Access, 2018
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Machine learning approaches to predict learning outcomes in Massive open online courses.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses.
Proceedings of the Intelligent Computing Theories and Application, 2017