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All Outputs (156)

Exploring the use of fitness landscape analysis for understanding malware evolution (2024)
Presentation / Conference Contribution
Babaagba, K., Murali, R., & Thomson, S. L. (2024, July). Exploring the use of fitness landscape analysis for understanding malware evolution. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We conduct a preliminary study exploring the potential of using fitness landscape analysis for understanding the evolution of malware. This type of optimisation is fairly new and has not previously been studied through the lens of landscape analysis.... Read More about Exploring the use of fitness landscape analysis for understanding malware evolution.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

Patient Centred Medical Education Workshop (2024)
Presentation / Conference Contribution
Breen, C. (2024, June). Patient Centred Medical Education Workshop. Presented at Patient Centred Medical Education Workshop, Heriot-Watt University, Edinburgh

Trainees, patients and healthcare providers all benefit from better training through practice, feedback and objective assessment. We would like to invite you to join a group of patients, trainees and consultants across surgery, anaesthesia and nursin... Read More about Patient Centred Medical Education Workshop.

The digital Foley: what Foley artists say about using audio synthesis (2024)
Presentation / Conference Contribution
Di Donato, B., & McGregor, I. (2024, April). The digital Foley: what Foley artists say about using audio synthesis. Presented at 2024 AES 6th International Conference on Audio for Games, Tokyo, Japan

Foley is a sound production technique where organicity and authenticity in sound creation are key to fostering creativity. Audio synthesis, Artificial Intelligence (AI) and Interaction Design (IXD) have been explored by the community to investigate t... Read More about The digital Foley: what Foley artists say about using audio synthesis.

AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array (2024)
Presentation / Conference Contribution
Akinsolu, M. O., Al-Yasir, Y. I. A., Hua, Q., See, C., & Liu, B. (2024, March). AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array. Presented at EuCAP 2024, Glasgow, UK

Artificial intelligence (AI) is enabling the automated design of contemporary antennas for numerous applications. Specifically, the use of machine learning (ML)-assisted global optimization techniques for the efficient design of modern antennas is no... Read More about AI-Driven Design of a Quasi-digitally-coded Wideband Microstrip Patch Antenna Array.

An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation (2024)
Presentation / Conference Contribution
Stone, C., Renau, Q., Miguel, I., & Hart, E. (2024, June). An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation. Presented at 18TH LEARNING AND INTELLIGENT OPTIMIZATION CONFERENCE, Ischia Italy

We address the question of multi-task algorithm selection in combinatorial optimisation domains. This is motivated by a desire to simplify the algorithm-selection pipeline by developing a more general classifier that does not require specialised info... Read More about An Evaluation of Domain-agnostic Representations to Enable Multi-task Learning in Combinatorial Optimisation.

BM TRADA Webinar Part 2: Machine Strength Grading (2024)
Presentation / Conference Contribution
Ridley-Ellis, D. (2024, April). BM TRADA Webinar Part 2: Machine Strength Grading. Presented at BM TRADA Technical Timber Webinars 2024, Online

Strength grading of solid timber – overcoming some common misconceptions. Slides covering machine strength grading, stamps, and EN1912 revision

Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances (2024)
Presentation / Conference Contribution
Verel, S., Thomson, S. L., & Rifki, O. (2024, April). Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. Presented at EvoCOP 2024, Aberystwyth, UK

The Quadratic Assignment Problem (QAP) is one of the major domains in the field of evolutionary computation, and more widely in combinatorial optimization. This paper studies the phase transition of the QAP, which can be described as a dramatic chang... Read More about Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances.

Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios (2024)
Presentation / Conference Contribution
Huang, Z., Liu, X., Romdhani, I., & Shih, C. (2024, August). Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios. Presented at The 7th International Conference on Information Science and Systems (ICISS 2024), Edinburgh

This research presents a groundbreaking approach to Building Maintenance Management (BMM) by introducing an Intelligent Process Automation (IPA)-Driven Building Maintenance Management (IBMM) model. This innovative model harnesses the synergies betwee... Read More about Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios.

Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies (2024)
Presentation / Conference Contribution
Aliyu, B. D., Rohani, M. N. K. H., Musa, U., Sulaiman, S. H., Jibril, Y., Mas'ud, A. A., Muhammad-Sukki, F., & Jamil, A. I. M. (2024, March). Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies. Presented at 2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA 2024), Pulau Pinang, Malaysia

Partial discharge (PD) degrades the quality of insulation systems, and its impact becomes even more severe with ageing. Several studies have revealed PD activity to be environmental and test factors dependent. Among the several test factors, the exci... Read More about Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies.

Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration.

A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development (2024)
Presentation / Conference Contribution
Peng, T., & Graham, H. (2024, July). A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development. Presented at DATA 2024: 13th International Conference on Data Science, Technology and Applications, Dijon, France

As data volumes grow, so too does our need and ability to analyse it. Cloud computing technologies offer a wide variety of options for analysing big data and make this ability available to anyone. However, the monetary implications for doing this in... Read More about A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development.

Blinkbonny Avenue and Everyday Life (2024)
Presentation / Conference Contribution
Turtola, N., & Vapaasalo, T. (2024, April). Blinkbonny Avenue and Everyday Life. Presented at Language-Based Artistic Research Special Interest Group @ SAR Forum, Tilburg

This artistic research is thematically interested in the practice of everyday life and in issues of the liberated book and page layout, book design and dialogue between text and image. The urgency of this node of the ‘liberated page’ explores shared... Read More about Blinkbonny Avenue and Everyday Life.

Workforce redesign through the development and use of a bespoke measurement instrument (2024)
Presentation / Conference Contribution
Sharp, S., McAuley, G., Seville, L., Corcoran, J., & Forrest, S. (2024, April). Workforce redesign through the development and use of a bespoke measurement instrument. Poster presented at International Forum on Quality and Safety in Healthcare, London, UK

The link between the number of registered nurses providing care, and the quality of that care is well documented. Fewer registered nurses is associated with negative patient outcomes, including delayed discharge, falls, medication errors, failure to... Read More about Workforce redesign through the development and use of a bespoke measurement instrument.

New Horizons in Peer Advice Systems: Developing the Freelance Advisor (2024)
Presentation / Conference Contribution
Patrick-Thomson, H., Lawson, A., & Lapok, P. (2024, April). New Horizons in Peer Advice Systems: Developing the Freelance Advisor. Paper presented at Digital Business and Society Consortium, Royal Holloway, University of London

Work in the creative and cultural industries is often seen as “good” because it offers people a chance to earn money while engaged in their passion (McRobbie, 2018), to have autonomy over when, where and how they work (Smith and McKinlay, 2009), and... Read More about New Horizons in Peer Advice Systems: Developing the Freelance Advisor.