Edinburgh Napier University

Modeling and analysis of a deep learning pipeline for cloud based video analytics

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. T...

Big data analytics in healthcare: A cloud based framework for generating insights

Book Chapter

Anjum, A., Aizad, S., Arshad, B., Subhani, M. M., Davies-Tagg, D., Abdullah, T., & Antonopoulos, N. (2017)

Big data analytics in healthcare: A cloud based framework for generating insights. In N. Antonopoulos, & L. Gillam (Eds.), Cloud Computing (153-170). Cham: Springer. https://doi.org/10.1007/978-3-319-54645-2_6

With exabytes of data being generated from genome sequencing, a whole new science behind genomics big data has emerged. As technology improves, the cost of sequencing a human ...

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments

Journal Article

Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018)

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments. Future Generation Computer Systems, 80, 322-341. https://doi.org/10.1016/j.future.2017.05.022

Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Given the energy consumption characteristics of the Cloud resources, service providers are under...

Efficient service discovery in decentralized online social networks

Journal Article

Yuan, B., Liu, L., & Antonopoulos, N. (2018)

Efficient service discovery in decentralized online social networks. Future Generation Computer Systems, 86, 775-791. https://doi.org/10.1016/j.future.2017.04.022

Online social networks (OSN) have attracted millions of users worldwide over the last decade. There are a series of urgent issues faced by existing OSN such as information ove...

Spatial frequency based video stream analysis for object classification and recognition in clouds

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 vi...

Clinical and genomics data integration using meta-dimensional approach

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 e...

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks

Journal Article

Panneerselvam, J., Hardy, J., Liu, L., Yuan, B., & Antonopoulos, N. (2016)

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. IEEE Access, 4, 9129-9144. https://doi.org/10.1109/access.2016.2602321

Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the c...

An efficient algorithm for partially matched services in internet of services

Journal Article

Ahmed, M., Liu, L., Hardy, J., Yuan, B., & Antonopoulos, N. (2016)

An efficient algorithm for partially matched services in internet of services. Personal and Ubiquitous Computing, 20(3), 283-293. https://doi.org/10.1007/s00779-016-0917-9

Internet of Things (IoT) connects billions of devices in an Internet-like structure. Each device encapsulated as a real-world service which provides functionality and exchange...

A socioecological model for advanced service discovery in machine-to-machine communication networks

Journal Article

Liu, L., Antonopoulos, N., Zheng, M., Zhan, Y., & Ding, Z. (2016)

A socioecological model for advanced service discovery in machine-to-machine communication networks. ACM transactions on embedded computing systems, 15(2), 1-26. https://doi.org/10.1145/2811264

The new development of embedded systems has the potential to revolutionize our lives and will have a significant impact on future Internet of Thing (IoT) systems if required s...

Video stream analysis in clouds: An object detection and classification framework for high performance video analytics

Journal Article

Tariq, M., Anjum, A., Abdullah, T., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (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.2016.2517653

Object detection and classification are the basic tasks in video analytics and become the starting point for other complex applications. Traditional video analytics approaches...