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The shifting goalposts of Digital Technology Skills in Scotland (2023)
Presentation / Conference Contribution
Meharg, D., & Tungli, T. (2023, December). The shifting goalposts of Digital Technology Skills in Scotland. Presented at SRHE International Conference 2023, Birmingham, UK

Digital technologies and skills are critical to economic growth and embedded in everyday life 1. This paper presents a work-in-progress study that examines the effect of education policy on digital skills within Scotland. Through literature analysis,... Read More about The shifting goalposts of Digital Technology Skills in Scotland.

Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP (2023)
Presentation / Conference Contribution
Datta, S., Ganguly, D., Mothe, J., & Ullah, M. Z. (2023, April). Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP. Presented at 45th European Conference on Information Retrieval (ECIR), Dublin, Ireland

In information retrieval, query performance prediction aims to predict whether a search engine is likely to succeed in retrieving potentially relevant documents to a user's query. This problem is usually cast into a regression problem where a machine... Read More about Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP.

5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids (2023)
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Gogate, M., Dashtipour, K., Arslan, T., Adeel, A., Hussain, A., Ratnarajah, T., & Sellathurai, M. (2023, August). 5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids. Presented at Interspeech 2023, Dublin, Ireland

Over twenty percent of the world's population suffers from some form of hearing loss, making it one of the most significant public health challenges. Current hearing aids commonly amplify noises while failing to improve speech comprehension in crowde... Read More about 5G-IoT Cloud based Demonstration of Real-Time Audio-Visual Speech Enhancement for Multimodal Hearing-aids.

SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings (2023)
Presentation / Conference Contribution
Sajjadian, S. M. (2023). SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings. In PLEA STGO 2022: Book of Proceedings Volume 1 (160-164)

The spread of SARS-CoV-2 since 2019 has rapidly become a global crisis with unprecedented records of deaths and hospitalizations in the last century. The infectious particles spread more easily indoors than outdoors and therefore built environment se... Read More about SARS-CoV-2, Ventilation Strategies, Thermal Comfort and Carbon Implications for Buildings.

Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization (2023)
Presentation / Conference Contribution
Mao, C., Zhao, L., Min, G., Hawbani, A., Al-Dubai, A. Y., & Zomaya, A. Y. (2023, December). Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization. Presented at IEEE Global Communications (GLOBECOM) Conference 2023, Kuala Lumpur, Malaysia

Vehicle trajectory prediction is a promising technology for improving the performance of Cellular Vehicle-to Everything (C-V2X) applications by providing future road states. Various vehicle trajectory prediction methods have been proposed to increase... Read More about Informative Causality-based Vehicle Trajectory Prediction Architecture for Domain Generalization.

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data (2023)
Presentation / Conference Contribution
Shahbaz Khan, M., Ahmad, J., Ali, H., Pitropakis, N., Al-Dubai, A., Ghaleb, B., & Buchanan, W. J. (2023, October). SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data. Presented at 9th International Conference on Engineering and Emerging Technologies (IEEE ICEET 2023), Istanbul, Turkey

With the advent of digital communication, securing digital images during transmission and storage has become a critical concern. The traditional s-box substitution methods often fail to effectively conceal the information within highly auto-correlate... Read More about SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data.

Self-attention is What You Need to Fool a Speaker Recognition System (2023)
Presentation / Conference Contribution
Wang, F., Song, R., Tan, Z., Li, Q., Wang, C., & Yang, Y. (2023, November). Self-attention is What You Need to Fool a Speaker Recognition System. Presented at The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023), Exeter, UK

Speaker Recognition Systems (SRSs) are becoming increasingly popular in various aspects of life due to advances in technology. However, these systems are vulnerable to cyber threats, particularly adversarial attacks. Traditional adversarial attack me... Read More about Self-attention is What You Need to Fool a Speaker Recognition System.

Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices (2023)
Presentation / Conference Contribution
Spalding, A., Tan, Z., & Babaagba, K. O. (2023, November). Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices. Presented at The International Symposium on Intelligent and Trustworthy Computing, Communications, and Networking (ITCCN-2023), Exeter, UK

Data recovery for forensic analysis of both hard drives and solid state media presents its own unique set of challenges. Hard drives face mechanical failures and data fragmentation , but their sequential storage and higher success rates make recovery... Read More about Challenges and Considerations in Data Recovery from Solid State Media: A Comparative Analysis with Traditional Devices.

Reliability Analysis of Fault Tolerant Memory Systems (2023)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Amine Ferrag, M., Moradpoor, N., & Lambropoulos, G. (2023, November). Reliability Analysis of Fault Tolerant Memory Systems. Presented at The 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2023), Piraeus, Greece

This paper delves into a comprehensive analysis of fault-tolerant memory systems, focusing on recovery techniques modelled using Markov chains to address transient errors. The study revolves around the application of scrubbing methods in conjunction... Read More about Reliability Analysis of Fault Tolerant Memory Systems.

Simulation of a Solar Dryer for Use in Developing Countries (2023)
Presentation / Conference Contribution
Muhammad-Sukki, F., Abiola Oladimeji, A., Sola, P. J., See, C. H., Bani, N. A., Muhtazaruddin, M. N., Amran, M. E., & Ahmad Kamil, A. S. (2023, October). Simulation of a Solar Dryer for Use in Developing Countries. Presented at 2023 International Conference on Power and Renewable Energy Engineering, Tokyo, Japan

This paper examines the implementation of solar dryers in developing countries. Simulations were carried out using a simple model of a solar dryer to validate the drying process for various crops and fish products. The solar dryer simulator model in... Read More about Simulation of a Solar Dryer for Use in Developing Countries.

The Challenge of Strength Grading UK Hardwoods (2023)
Presentation / Conference Contribution
Cramer, M. (2023, November). The Challenge of Strength Grading UK Hardwoods. Presented at ICWSE 2023, Brașov, Romania

Recent research in Europe is bringing a wider range of wood species to the construction market as structural timber and glue laminated products. This option would also open markets for currently underused UK species, foremost hardwoods, but testing e... Read More about The Challenge of Strength Grading UK Hardwoods.

A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus (2023)
Presentation / Conference Contribution
Khaddour, L., Obid, R., Yeboah, S., Osunsanmi, T., & Elhassnaoui, I. (2023, December). A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus. Presented at the International Conference on Advanced Technologies for Humanity (ICATH 2023), Morocco

The escalation of both natural and man-made disasters globally has led to profound challenges for nations grappling with the aftermath, particularly in the provision of post-disaster emergency shelters. These shelters hold critical significance in di... Read More about A comprehensive analysis of container vs prefabricated emergency shelters for post-disaster reconstruction in Damascus.

Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant (2023)
Presentation / Conference Contribution
Bani, N. A., Amran, M. E., Noordin, M. K., Kasri, N. F., Hidayat, A. A., Muhtazaruddin, M. N., Ahmad Kamil, A. S., & Muhammad-Sukki, F. (2023, September). Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant. Presented at 2nd IEEE National Biomedical Engineering Conference (NBEC 2023), Melaka, Malaysia

In an effort to digitalize and modernize medical equipment maintenance services in Government Hospitals, remote monitoring dashboard has become indispensable. Monitoring dashboards are often used to monitor, control, improve and maintain the operatio... Read More about Design and Development of Remote Monitoring Predictive Maintenance Dashboard for Reverse Osmosis Water Purification Plant.

Investigating Markers and Drivers of Gender Bias in Machine Translations (2023)
Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March). Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

A case study of fairness in generated images of Large Language Models for Software Engineering tasks (2023)
Presentation / Conference Contribution
Sami, M., Sami, A., & Barclay, P. (2023, October). A case study of fairness in generated images of Large Language Models for Software Engineering tasks. Presented at 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME), Bogotá, Colombia

Bias in Large Language Models (LLMs) has significant implications. Since they have revolutionized content creation on the web, they can lead to more unfair outcomes, lack of inclusivity, reinforcement of stereotypes and ethical and legal concerns. No... Read More about A case study of fairness in generated images of Large Language Models for Software Engineering tasks.

Addressing gender imbalance in STEM graduate apprenticeships (2023)
Presentation / Conference Contribution
Cecil, M., & Taylor Smith, E. (2023, December). Addressing gender imbalance in STEM graduate apprenticeships. Paper presented at Society for Research in Higher Education Conference 2023, Birmingham

There is currently significant gender imbalance within Science, Technology, Engineering and Mathematics (STEM) graduate apprenticeship (GA) programmes in Scotland. This is a considerable, ongoing issue for both higher education institutions and the l... Read More about Addressing gender imbalance in STEM graduate apprenticeships.

A Novel Immersed Framework of Computational Fluid Structure Interaction (2023)
Presentation / Conference Contribution
Xinyu, W., Kadapa, C., & Yue, M. (2023, May). A Novel Immersed Framework of Computational Fluid Structure Interaction. Presented at International Conference on Computational & Experimental Engineering and Sciences, Shenzhen, China

The interaction between fluid and immersed solid is a nonlinear multi-physical phenomenon in science and engineering. Due to the challenges of large structural deformation, topological changes in the fluid domain, complexity of the geometry of the st... Read More about A Novel Immersed Framework of Computational Fluid Structure Interaction.

The Opaque Nature of Intelligence and the Pursuit of Explainable AI (2023)
Presentation / Conference Contribution
Thomson, S. L., van Stein, N., van den Berg, D., & van Leeuwen, C. (2023, November). The Opaque Nature of Intelligence and the Pursuit of Explainable AI. Presented at NCTA 2023: 15th International Conference on Neural Computation Theory and Applications, Rome, Italy

When artificial intelligence is used for making decisions, people are more likely to accept those decisions if they can be made intelligible to the public. This understanding has led to the emerging field of explainable artificial intelligence. We re... Read More about The Opaque Nature of Intelligence and the Pursuit of Explainable AI.

Using grain size distribution to estimate permeability (2023)
Presentation / Conference Contribution
Imre, E., Bálint, Á., Houng, D. T. Q., López, L. L., Répássy, L., Mwinken, D. K., Illés, Z., Datcheva, M., Baille, W., Barreto, D., Leak, J., & Feng, S. (2024, August). Using grain size distribution to estimate permeability. Presented at XVIII European Conference on Soil Mechanics and Geotechnical Engineering, Lisbon, Portugal

This study examines the saturated water permeability using samples of loose and dense 2-fraction coarse sand mixtures. Besides the non-normalised entropy variables some additional parameters like density, diameter descriptors are used to characterize... Read More about Using grain size distribution to estimate permeability.