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All Outputs (7)

An Ensemble Neural Model for Classification of LADA Diabetes Case, Control and Variable Importance (2022)
Conference Proceeding
Miller, A., Panneerselvam, J., Liu, L., & Antonopoulos, N. (2022). An Ensemble Neural Model for Classification of LADA Diabetes Case, Control and Variable Importance. In 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). https://doi.org/10.1109/ucc56403.2022.00041

LADA Diabetes is a complex disease, but often dismissed as a potential individual disease within its own right. A comprehensive understanding of previously unknown aspects of LADA diabetes has the potential to not only ascertain a greater comprehensi... Read More about An Ensemble Neural Model for Classification of LADA Diabetes Case, Control and Variable Importance.

Modeling and analysis of a deep learning pipeline for cloud based video analytics (2017)
Conference Proceeding
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2017). Modeling and analysis of a deep learning pipeline for cloud based video analytics. In BDCAT '17 Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, (121-130). https://doi.org/10.1145/3148055.3148081

Video analytics systems based on deep learning approaches are becoming the basis of many widespread applications including smart cities to aid people and traffic monitoring. These systems necessitate massive amounts of labeled data and training time... Read More about Modeling and analysis of a deep learning pipeline for cloud based video analytics.

Clinical and genomics data integration using meta-dimensional approach (2016)
Conference Proceeding
Subhani, M. M., Anjum, A., Koop, A., & Antonopoulos, N. (2016). Clinical and genomics data integration using meta-dimensional approach. In UCC '16 Proceedings of the 9th International Conference on Utility and Cloud Computinghttps://doi.org/10.1145/2996890.3007896

Clinical and genomics datasets contain humongous amount of information which are used in their respective environments independently to produce new science or better explain existing approaches. The interaction of data between these two domains is ve... Read More about Clinical and genomics data integration using meta-dimensional approach.

Spatial frequency based video stream analysis for object classification and recognition in clouds (2016)
Conference Proceeding
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2016). Spatial frequency based video stream analysis for object classification and recognition in clouds. In Proceedings of the 3rd IEEE/ACM conference on Big Data Computing, Applications and Technologieshttps://doi.org/10.1145/3006299.3006322

The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of video data. This video data is then processed for object classification to ex... Read More about Spatial frequency based video stream analysis for object classification and recognition in clouds.

Traffic monitoring using video analytics in clouds (2015)
Conference Proceeding
Abdullah, T., Anjum, A., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (2015). Traffic monitoring using video analytics in clouds. In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computinghttps://doi.org/10.1109/UCC.2014.12

Traffic monitoring is a challenging task on crowded roads. Traditional traffic monitoring procedures are manual, expensive, time consuming and involve human operators. They are subjective due to the very involvement of human factor and sometimes prov... Read More about Traffic monitoring using video analytics in clouds.