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A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare (2024)
Presentation / Conference Contribution
Brownlee, A., Thomson, S., & Oladapo, R. (2024, July). A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion, Melbourne, Australia

We report on a case study application of metaheuristics with Argyll and Bute Health and Social Care Partnership in the West of Scotland. The Partnership maintains a fleet of pool vehicles that are available to service visits of staff to locations acr... Read More about A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.

Makazi SHELTERs (2024)
Digital Artefact
Eltaweel, A. (2024). Makazi SHELTERs. [YouTube video]

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Presentation / Conference Contribution
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (2024, July). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Understanding fitness landscapes in morpho-evolution via local optima networks (2024)
Presentation / Conference Contribution
Thomson, S. L., Le Goff, L., Hart, E., & Buchanan, E. (2024, July). Understanding fitness landscapes in morpho-evolution via local optima networks. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Morpho-Evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings have been proposed which are capable of representing design and control. Pre... Read More about Understanding fitness landscapes in morpho-evolution via local optima networks.

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, July). Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. Presented at GECCO 2024, Melbourne, Australia

The choice of input-data used to train algorithm-selection models is recognised as being a critical part of the model success. Recently, feature-free methods for algorithm-selection that use short trajec-tories obtained from running a solver as input... Read More about Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem (2024)
Presentation / Conference Contribution
Renau, Q., Dreo, J., & Hart, E. (2024, July). Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

Artificial benchmark datasets are common in both numerical and discrete optimisation domains. Existing benchmarks cover a broad range of classes of optimisation, but as a general rule have limited value due to their poor resemblance to real-world pro... Read More about Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Presentation / Conference Contribution
Marrero, A., Segredo, E., León, C., & Hart, E. (2024, July). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection (2024)
Journal Article
Ma, M., Yang, L., Liu, Y., & Yu, H. (online). A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2024.3421331

Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, the advancement of deep learning techniques has prompted a sur... Read More about A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (in press). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology,

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments (2024)
Journal Article
Mohd Isa, M. A., Azahari, M. F., Rohani, M. N. K. H., Ismail, B., Rosmi, A. S., Jamil, M. K., Mansor, N. S., Mas'ud, A. A., & Muhammad-Sukki, F. (2025). Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 213-226. https://doi.org/10.37934/araset.48.1.213226

This research evaluates the performance of edge-based segmentation methods in analysing two-dimensional (2D) electrical tree images obtained during high-voltage (HV) electrical tree experiments. Non-uniform illumination in 2D optical images poses cha... Read More about Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments.

Solar Window Innovations: Enhancing Building Performance through Advanced Technologies (2024)
Journal Article
Ghamari, M., & Sundaram, S. (2024). Solar Window Innovations: Enhancing Building Performance through Advanced Technologies. Energies, 17(14), Article 3369. https://doi.org/10.3390/en17143369

Building-integrated photovoltaic (BIPV) glazing systems with intelligent window technologies enhance building energy efficiency by generating electricity and managing daylighting. This study explores advanced BIPV glazing, focusing on building-integr... Read More about Solar Window Innovations: Enhancing Building Performance through Advanced Technologies.

Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot (2024)
Presentation / Conference Contribution
Wilson, M., Brazier, D., Gkatzia, D., & Robertson, P. (2024, July). Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot. Presented at ACM Conversational User Interfaces 2024 (CUI ’24), Luxembourg, Luxembourg

We present a study of collaboration with expert participants for the purpose of the responsible design of a conversational agent. The Delphi study was used to identify and develop design and evaluation criteria for an automated career support interve... Read More about Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot.

Pedagogical approaches in music and audio education for deaf and hard-of-hearing students (2024)
Journal Article
Cheng, L., & McGregor, I. (in press). Pedagogical approaches in music and audio education for deaf and hard-of-hearing students. Organised Sound,

Learning about music, sound, or audio can present significant challenges for individuals who are deaf and hard of hearing (DHH). Given the advancements in technology and the increasing emphasis on equality, diversity and inclusion (EDI) in education,... Read More about Pedagogical approaches in music and audio education for deaf and hard-of-hearing students.

Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications (2024)
Presentation / Conference Contribution
Khorasani, S. A., Zakeri, H., Moradi, G., Alibakhshikenari, M., See, C. H., & Limiti, E. (2024, June). Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications. Presented at 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

This paper discusses the effect of the orbital angular momentum on the fifth generation of mobile communication. A new generation of mobile requires advanced antenna systems capable of sending and receiving massive amounts of data. The beamforming me... Read More about Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications.

Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications (2024)
Presentation / Conference Contribution
Zidour, A., Alibakhshikenari, M., Ayad, M., See, C. H., & Limiti, E. (2024, June). Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications. Presented at 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

In this paper, a wideband hybrid dielectric resonator antenna (HDRA) array design is presented for fifth-generation (5G) millimeter wave (mmWave) applications. The hybrid antenna integrates three resonant radiators of feeding slot, ring patch, and DR... Read More about Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications.

Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development (2024)
Presentation / Conference Contribution
Tungli, T., & Meharg, D. (2024, September). Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh

The inclusion of students with disabilities in tertiary education is rising globally, however research on their participation in out-of-classroom activities remains limited. This paper investigates the significance of out-of-classroom engagement for... Read More about Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development.

Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems (2024)
Presentation / Conference Contribution
Basherlou, H. J., Parchin, N. O., Alibakhshikenari, M., See, C. H., Kouhalvandi, L., Abd-Alhameed, R., & Limiti, E. (2024, June). Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems. Presented at 2024 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

Phased array antennas with broadband and super-wideband (SWB) capabilities, featuring extensive scanning and end-fire radiations, are imperative to meet the evolving demands of future cellular systems. This paper explores the properties of a new desi... Read More about Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems.