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Outputs (4095)

Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks (2021)
Presentation / Conference Contribution
Ghaleb, S. M., Man, M., Ghaleb, B., Aplop, F., Ghaleb, M., & Al-Hadi, I. A. A.-Q. (2021, April). Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks. Presented at ICETIS: International Conference on Emerging Technologies and Intelligent Systems, Online

One of the most important challenge in the mobility management protocols is maintaining the MN’s IP connectivity and its accessibility during its movement. Although mobility protocols have come a long way in solving this issue in IP-WSNs, they still... Read More about Improved Group-Based Signaling Scheme for Mobile Nodes in the Internet of Things Networks.

Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions (2021)
Presentation / Conference Contribution
Wadhaj, I., Ghaleb, B., & Thomson, C. (2021, June). Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions. Presented at International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021), Online

Effective measurement and monitoring of certain parameters (temperature, pressure, flow etc.) is crucial for the safety and optimization of processes in the Oil and Gas Industry. Wired sensors have been extensively utilized for this purpose but are c... Read More about Wireless Sensor Networks (WSN) in Oil and Gas Industry: Applications, Requirements and Existing Solutions.

Browsers’ Private Mode: Is It What We Were Promised? (2021)
Journal Article
Hughes, K., Papadopoulos, P., Pitropakis, N., Smales, A., Ahmad, J., & Buchanan, W. J. (2021). Browsers’ Private Mode: Is It What We Were Promised?. Computers, 10(12), Article 165. https://doi.org/10.3390/computers10120165

Web browsers are one of the most used applications on every computational device in our days. Hence, they play a pivotal role in any forensic investigation and help determine if nefarious or suspicious activity has occurred on that device. Our study... Read More about Browsers’ Private Mode: Is It What We Were Promised?.

Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland (2021)
Book Chapter
Panneels, I. (2021). Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland. In C. Travis, & V. Valentino (Eds.), Narratives in the Anthropocene era (321-342). Il Silent Edizioni

Mapping the Anthropocene considers The Deep Wealth of this Nation, Scotland (2018) by eco-art pioneers Helen Mayer and Newton Harrison. Known as the Harrisons, they deploy mapping to explore how a future Scotland could thrive and create surplus of ec... Read More about Mapping the Anthropocene: The Harrisons’ and The Deep Wealth of this Nation, Scotland.

Attributes Guided Feature Learning for Vehicle Re-Identification (2021)
Journal Article
Li, H., Lin, X., Zheng, A., Li, C., Luo, B., He, R., & Hussain, A. (2022). Attributes Guided Feature Learning for Vehicle Re-Identification. IEEE Transactions on Emerging Topics in Computational Intelligence, 6(5), 1211-1221. https://doi.org/10.1109/tetci.2021.3127906

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-cla... Read More about Attributes Guided Feature Learning for Vehicle Re-Identification.

A new color image encryption technique using DNA computing and Chaos-based substitution box (2021)
Journal Article
Ahmad, J., Masood, F., Masood, J., Zhang, L., Shaukat Jamal, S., Boulila, W., Rehman, S. U., & Khan, F. A. (2022). A new color image encryption technique using DNA computing and Chaos-based substitution box. Soft Computing, 26(16), 7461-7477. https://doi.org/10.1007/s00500-021-06459-w

In many cases, images contain sensitive information and patterns that require secure processing to avoid risk. It can be accessed by unauthorized users who can illegally exploit them to threaten the safety of people’s life and property. Protecting th... Read More about A new color image encryption technique using DNA computing and Chaos-based substitution box.

What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think (2021)
Presentation / Conference Contribution
Howcroft, D. M., & Rieser, V. (2021, November). What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think. Presented at 2021 Conference on Empirical Methods in Natural Language Processing

Previous work has shown that human evaluations in NLP are notoriously under-powered. Here, we argue that there are two common factors which make this problem even worse: NLP studies usually (a) treat ordinal data as interval data and (b) operate unde... Read More about What happens if you treat ordinal ratings as interval data? Human evaluations in {NLP} are even more under-powered than you think.

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data (2021)
Journal Article
Lu, H., Liu, Q., Liu, X., & Zhang, Y. (2021). A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data. Journal of Organizational and End User Computing, 33(6), Article 6. https://doi.org/10.4018/joeuc.20211101.oa6

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing dat... Read More about A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data.

CAPE: Context-Aware Private Embeddings for Private Language Learning (2021)
Presentation / Conference Contribution
Plant, R., Gkatzia, D., & Giuffrida, V. (2021, November). CAPE: Context-Aware Private Embeddings for Private Language Learning. Presented at EMNLP 2021 Conference, Punta Cana, Dominican Republic [Online]

Neural language models have contributed to state-of-the-art results in a number of downstream applications including sentiment analysis, intent classification and others. However, obtaining text representations or embeddings using these models risks... Read More about CAPE: Context-Aware Private Embeddings for Private Language Learning.