Outputs (235)

Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing (2019)
Journal Article
Sheikh, A., Munro, M., & Budgen, D. (2019). Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing. International Journal of Advanced Computer Science and Applications, 10(4), 35-44. https://doi.org/10.14569/ijacsa.2019.0100404

Resource scheduling in cloud computing is a com-plex task due to the number and variety of resources available and the volatility of usage-patterns of resources considering that the resource setting is on the service provider. This compounded further... Read More about Systematic Literature Review (SLR) of Resource Scheduling and Security in Cloud Computing.

How Do We Build Practical Systems Involving Ethics and Trust? (2019)
Journal Article
Dennis, L. A., Tubella, A. A., Chatila, R., Duijf, H., Dyoub, A., Eder, K. I., Horty, J. F., Köhl, M., Lieck, R., & Singh, M. P. (2019). How Do We Build Practical Systems Involving Ethics and Trust?. Dagstuhl Reports, 9(4), 59-86. https://doi.org/10.4230/dagrep.9.4.59

A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals (2019)
Journal Article
Katsigiannis, S., Willis, R., & Ramzan, N. (2019). A QoE and Simulator Sickness Evaluation of a Smart-Exercise-Bike Virtual Reality System via User Feedback and Physiological Signals. IEEE Transactions on Consumer Electronics, 65(1), 119-127. https://doi.org/10.1109/tce.2018.2879065

Early Dropout Prediction for Programming Courses Supported by Online Judges (2019)
Presentation / Conference Contribution
Pereira, F. D., Oliveira, E., Cristea, A., Fernandes, D., Silva, L., Aguiar, G., Alamri, A., & Alshehri, M. (2019, June). Early Dropout Prediction for Programming Courses Supported by Online Judges. Presented at AIED 2019, Chicago, IL

Many educational institutions have been using online judges in programming classes, amongst others, to provide faster feedback for students and to reduce the teacher’s workload. There is some evidence that online judges also help in reducing dropout.... Read More about Early Dropout Prediction for Programming Courses Supported by Online Judges.

Deterministic Leader Election in Programmable Matter (2019)
Presentation / Conference Contribution
Emek, Y., Kutten, S., Lavi, R., & Moses Jr., W. K. (2019, December). Deterministic Leader Election in Programmable Matter. Presented at 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)

8. Towards personalized virtual reality touring through cross-object user interfaces (2019)
Book Chapter
Zhou, Y. (2019). 8. Towards personalized virtual reality touring through cross-object user interfaces. In Personalized Human-Computer Interaction. https://doi.org/10.1515/9783110552485-008

A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation (2019)
Presentation / Conference Contribution
Atapour-Abarghouei, A., Bonner, S., & McGough, A. S. (2019, December). A King’s Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation. Presented at 2019 IEEE International Conference on Big Data (Big Data)

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery (2019)
Presentation / Conference Contribution
Gaus, Y., Bhowmik, N., Akcay, S., & Breckon, T. (2019, December). Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. Presented at 18th IEEE International Conference on Machine Learning and Applications (ICMLA 2019), Boca Raton, Florida, USA

X-ray imagery security screening is essential to maintaining transport security against a varying profile of threat or prohibited items. Particular interest lies in the automatic detection and classification of weapons such as firearms and knives wit... Read More about Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery.

Exploring content game elements to support gamification design in educational systems: narrative and storytelling (2019)
Presentation / Conference Contribution
Palomino, P., Toda, A., Oliveira, W., Rodrigues, L., Cristea, A. I., & Isotani, S. (2019, December). Exploring content game elements to support gamification design in educational systems: narrative and storytelling. Presented at Anais do XXX Simpósio Brasileiro de Informática na Educação (SBIE 2019)

There are currently several studies on gamification applied to learning systems, aiming to encourage students to do certain tasks and improving their learning. According to several researches, most frameworks for gamification already developed are st... Read More about Exploring content game elements to support gamification design in educational systems: narrative and storytelling.

Perpetual Assurances for Self-Adaptive Systems (2019)
Journal Article
Weyns, D., Bencomo, N., Calinescu, R., Cámara, J., Ghezzi, C., Grassi, V., Grunske, L., Inverardi, P., Jézéquel, J.-M., Malek, S., Mirandola, R., Mori, M., & Tamburrelli, G. (2019). Perpetual Assurances for Self-Adaptive Systems. CoRR - Computing Research Repository, abs/1903.04771,