Outputs (4095)

Tiny Teams Festival 2020 (2020)
Exhibition / Performance
Methven, T. Tiny Teams Festival 2020. [https://store.steampowered.com/sale/tinyteamsfestival / https://store.steampowered.com/news/app/1257850/view/2729697381088908335]. Exhibited at Steam. 9 August 2020 - 15 August 2020

UK-based entertainment company Yogscast Games and the Yogscast network today announced the first ever Tiny Teams Indie Festival.

This festival aims to shine a spotlight on games from indie micro-studios and will be broadcast live on Steam and Twit... Read More about Tiny Teams Festival 2020.

Lightweight edge authentication for software defined networks (2020)
Journal Article
Almaini, A., Al-Dubai, A., Romdhani, I., Schramm, M., & Alsarhan, A. (2021). Lightweight edge authentication for software defined networks. Computing, 103, https://doi.org/10.1007/s00607-020-00835-4

OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While... Read More about Lightweight edge authentication for software defined networks.

Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia (2020)
Journal Article
Cavallaro, L., Ficara, A., De Meo, P., Fiumara, G., Catanese, S., Bagdasar, O., Song, W., & Liotta, A. (2020). Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia. PLOS ONE, 15(8), Article e0236476. https://doi.org/10.1371/journal.pone.0236476

Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses severe hurdles to Law-Enforcement Agencies (LEAs). Herein, we borrow methods and tools from... Read More about Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia.

Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter (2020)
Journal Article
Pitropakis, N., Kokot, K., Gkatzia, D., Ludwiniak, R., Mylonas, A., & Kandias, M. (2020). Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter. Machine Learning and Knowledge Extraction, 2(3), 192-215. https://doi.org/10.3390/make2030011

The proliferation of social media platforms changed the way people interact online. However, engagement with social media comes with a price, the users’ privacy. Breaches of users’ privacy, such as the Cambridge Analytica scandal, can reveal how the... Read More about Monitoring Users’ Behavior: Anti-Immigration Speech Detection on Twitter.

TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies (2020)
Presentation / Conference Contribution
Jaroucheh, Z., Alissa, M., Buchanan, W. J., & Liu, X. (2020, July). TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies. Presented at 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC 2020), Online

The growing trend of sharing news/contents, through social media platforms and the World Wide Web has been seen to impact our perception of the truth, altering our views about politics, economics, relationships, needs and wants. This is because of th... Read More about TRUSTD: Combat Fake Content using Blockchain and Collective Signature Technologies.

Reflections on the Doctoral Consortium (2020)
Presentation / Conference Contribution
Hall, L., Dix, A., Woolley, S., Bond, R., Sim, G., & Flint, T. (2020, July). Reflections on the Doctoral Consortium. Presented at 32nd International BCS Human Computer Interaction Conference, Keele

This paper provides a reflective commentary on the British HCI Doctoral Consortium from the perspective of the Organising Committee. We discuss the approach to holding a Human Computer Interaction Doctoral Consortium in July 2020 and the outcomes. We... Read More about Reflections on the Doctoral Consortium.

Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots (2020)
Journal Article
Strathearn, C., & Ma, M. (2020). Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots. Informatics, 7(3), Article 28. https://doi.org/10.3390/informatics7030028

Realistic humanoid robots (RHRs) with embodied artificial intelligence (EAI) have numerous applications in society as the human face is the most natural interface for communication and the human body the most effective form for traversing the manmade... Read More about Modelling User Preference for Embodied Artificial Intelligence and Appearance in Realistic Humanoid Robots.

Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique (2020)
Journal Article
Arshad, Ahmad, J., Tahir, A., Stewart, B. G., & Nekahi, A. (2020). Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique. Energies, 13(15), Article 3889. https://doi.org/10.3390/en13153889

There is a vital need to understand the flashover process of polymeric insulators for safe and reliable power system operation. This paper provides a rigorous investigation of forecasting the flashover parameters of High Temperature Vulcanized (HTV)... Read More about Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique.

Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution (2020)
Journal Article
Qayyum, A., Ahmad, J., Boulila, W., Rubaiee, S., Arshad, Masood, F., Khan, F., & Buchanan, W. J. (2020). Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution. IEEE Access, 8, 140876-140895. https://doi.org/10.1109/access.2020.3012912

The evolution of wireless and mobile communication from 0G to the upcoming 5G gives riseto data sharing through the Internet. This data transfer via open public networks are susceptible to severaltypes of attacks. Encryption is a method that can prot... Read More about Chaos-Based Confusion and Diffusion of Image Pixels Using Dynamic Substitution.

Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos (2020)
Journal Article
Xue, X., Li, Y., Yin, X., Shang, C., Peng, T., & Shen, Q. (2022). Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos. IEEE Transactions on Cybernetics, 52(4), 2418-2429. https://doi.org/10.1109/tcyb.2020.3005453

Discriminative correlation filter (DCF) has contributed tremendously to address the problem of object tracking benefitting from its high computational efficiency. However, it has suffered from performance degradation in unmanned aerial vehicle (UAV)... Read More about Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos.