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Outputs (188)

Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer (2020)
Journal Article
Welikala, R. A., Remagnino, P., Lim, J. H., Chan, C. S., Rajendran, S., Kallarakkal, T. G., Zain, R. B., Jayasinghe, R. D., Rimal, J., Kerr, A. R., Amtha, R., Patil, K., Tilakaratne, W. M., Gibson, J., Cheong, S. C., & Barman, S. A. (2020). Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access, 8, 132677-132693. https://doi.org/10.1109/access.2020.3010180

A Service Scheduling Security Model for a Cloud Environment (2020)
Journal Article
Sheikh, A., Munro, M., & Budgen, D. (2020). A Service Scheduling Security Model for a Cloud Environment. International Journal of Advanced Computer Science and Applications, 11(5), Article 1. https://doi.org/10.14569/ijacsa.2020.0110501

Scheduling tasks on a standalone system can be complex but applying it to a cloud environment can be even more complex because of the large amount of resources available. An added complexity in a Cloud environment is that of security. This paper addr... Read More about A Service Scheduling Security Model for a Cloud Environment.

Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices (2020)
Presentation / Conference Contribution
Khadka, A., Argyriou, V., & Remagnino, P. (2020, December). Accurate Deep Net Crowd Counting for Smart IoT Video acquisition devices. Presented at 16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020) IEEE Comp Soc

SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS (2020)
Presentation / Conference Contribution
Khadka, A., Remagnino, P., & Argyriou, V. (2020, December). SYNTHETIC CROWD AND PEDESTRIAN GENERATOR FOR DEEP LEARNING PROBLEMS. Presented at 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING Inst Elect \& Elect Engineers; Inst Elect \& Elect Engineers, Signal Proc Soc

Towards an assessment grid for intelligent modeling assistance (2020)
Presentation / Conference Contribution
Mussbacher, G., Combemale, B., Abrahão, S., Bencomo, N., Burgueño, L., Engels, G., Kienzle, J., Kühn, T., Mosser, S., Sahraoui, H. A., Weyssow, M., Guerra, E., & Iovino, L. (2020, December). Towards an assessment grid for intelligent modeling assistance. Presented at MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, Virtual Event, Canada, 18-23 October, 2020, Companion Proceedings

A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs (2020)
Journal Article
Jindal, A., Kronawitter, J., Kühn, R., Bor, M., de Meer, H., Gouglidis, A., Hutchison, D., Marnerides, A. K., Scott, A., & Mauthe, A. (2020). A flexible ICT architecture to support ancillary services in future electricity distribution networks: an accounting use case for DSOs. Energy Informatics, 3(1), https://doi.org/10.1186/s42162-020-00111-x