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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.

Transitioning points of view: Participating in a Faculty Learning Community at Edinburgh Napier University (2019)
Conference Proceeding
Ennis, L. (2019). Transitioning points of view: Participating in a Faculty Learning Community at Edinburgh Napier University. In Improving University Teaching 2019 Proceedings

Faculty Learning Communities (FLC) are formal, time-bound and selective communities that encourage collaborative enhancement of teaching and learning. Based on the model developed by Milton D. Cox (2004), the first FLC at Edinburgh Napier University... Read More about Transitioning points of view: Participating in a Faculty Learning Community at Edinburgh Napier University.

Invitert føredrag: Wikipedia and Open Access (2019)
Conference Proceeding
Lawson, S. (2019). Invitert føredrag: Wikipedia and Open Access. In Wikipedia-akademiet 2015. https://doi.org/10.7557/5.4980

The Wikipedia community has been involved in open access for a long time so it is fitting that the Wikimedia Foundation has now implemented an open access policy. This talk will discuss the links between open access and Wikipedia, and discuss the his... Read More about Invitert føredrag: Wikipedia and Open Access.

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.

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.

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.

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.

Assessment of design tools for knowledge capture and re-use (2010)
Conference Proceeding
Vijaykumar, A. G., & Chakrabarti, A. (2010). Assessment of design tools for knowledge capture and re-use. In P. Heisig, P. J. Clarkson, & S. Vajna (Eds.), Proceedings of the 1st International Conference on Modelling and Management of Engineering Processes 2010. , (139-150)

No abstract available.

Taxonomy for Understanding Knowledge Captured in Documents By Designers (2007)
Conference Proceeding
Vijaykumar, G. A., & Chakrabarti, A. (2007). Taxonomy for Understanding Knowledge Captured in Documents By Designers. In DS 42: Proceedings of ICED 2007, the 16th International Conference on Engineering Design

In this competitive scenario of product development, product success is substantially influenced by satisfaction of the knowledge needs of designers. In literature many tools and methods are proposed to support satisfaction of these needs. But, adopt... Read More about Taxonomy for Understanding Knowledge Captured in Documents By Designers.