Tariq Abdullah
| Name | Tariq Abdullah |
|---|---|
| Job title | Academic Lead - Computing & IT |
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0003-4189-4007 |
Research outputs
Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review
Sakr, A. and Abdullah, T. 2024. Virtual, augmented reality and learning analytics impact on learners, and educators: A systematic review. Education and Information Technologies. pp. 1-50. https://doi.org/10.1007/s10639-024-12602-5Deep Learning in Sentiment Analysis: A Survey of Recent Architectures
Abdullah, T. and Ahmet, A. 2022. Deep Learning in Sentiment Analysis: A Survey of Recent Architectures. ACM Computing Surveys. 55 (8), pp. 1-37. https://doi.org/10.1145/3548772Improving MOOCs experience using Learning Analytics and Intelligent Conversational Agent
Abdullah, T. and Sakr, A. 2021. Improving MOOCs experience using Learning Analytics and Intelligent Conversational Agent. in: Caballé, S., Demetriadis, S., Gómez-Sánchez, E., Papadopoulos, P. and Weinberger, A. (ed.) Intelligent Systems and Learning Data Analytics in Online Education Academic Press. pp. 47-70Big data analytics in healthcare: A cloud based framework for generating insights
Anjum, Ashiq, Aizad, Sanna, Arshad, Bilal, Subhani, Moeez, Davies-Tagg, Dominic, Abdullah, Tariq and Antonopoulos, Nikolaos 2017. Big data analytics in healthcare: A cloud based framework for generating insights. in: Springer.Video stream analysis in clouds: An object detection and classification framework for high performance video analytics
Anjum, Ashiq, Abdullah, Tariq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2016. Video stream analysis in clouds: An object detection and classification framework for high performance video analytics. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2016.2517653Traffic monitoring using video analytics in clouds
Abdullah, Tariq, Anjum, Ashiq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2014. Traffic monitoring using video analytics in clouds. IEEE. https://doi.org/10.1109/UCC.2014.12522
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