Outputs (2355)

Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition (2025)
Journal Article
Xiao, Z., Xing, H., Qu, R., Li, H., Cheng, X., Xu, L., Feng, L., & Wan, Q. (2025). Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems, 1-15. https://doi.org/10.1109/tnnls.2025.3556317

Recently, numerous deep learning algorithms have addressed wearable human activity recognition (HAR), but they often struggle with efficient knowledge transfer to lightweight models for mobile devices. Knowledge distillation (KD) is a popular techniq... Read More about Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition.

Student Surpasses the Teacher: Apprenticeship Learning for Quadratic Unconstrained Binary Optimisation (2025)
Journal Article
Cakebread, J., Jackson, W. G., Karapetyan, D., Parkes, A. J., & Özcan, E. (2025). Student Surpasses the Teacher: Apprenticeship Learning for Quadratic Unconstrained Binary Optimisation. Algorithms, 18(8), Article 516. https://doi.org/10.3390/a18080516

This study introduces a novel train-and-test approach referred to as apprenticeship learning (AL) for generating selection hyper-heuristics to solve the Quadratic Unconstrained Binary Optimisation (QUBO) problem. The primary goal is to automate the d... Read More about Student Surpasses the Teacher: Apprenticeship Learning for Quadratic Unconstrained Binary Optimisation.

Blurring the Lines: A portfolio of design research projects Emily Thorn (2025)
Other
Thorn, E. Blurring the Lines: A portfolio of design research projects Emily Thorn

This portfolio presents a body of work developed as part of the long-term research initiative associated with Blurring the Lines: Bridging Aesthetic Design and Technological Functionality in Visual Markers. Since 2011, Artcodes has evolved as a tool... Read More about Blurring the Lines: A portfolio of design research projects Emily Thorn.

Decoupled, wearable soft robotic rehabilitation device for the upper limb (2025)
Journal Article
Greig, J., McInnes, M., Chadwick, E. K., & Giannaccini, M. E. (2025). Decoupled, wearable soft robotic rehabilitation device for the upper limb. Wearable Technologies, 6, Article e38. https://doi.org/10.1017/wtc.2025.10018

Lightweight, adjustable and affordable devices are needed to enable the next generation of effective, wearable adjuncts for rehabilitation. Used at home or in a rehabilitation setting, these have the potential to reduce compound pressures on hospital... Read More about Decoupled, wearable soft robotic rehabilitation device for the upper limb.

NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience (2025)
Presentation / Conference Contribution
Shvets, A. (2025, July). NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience. Presented at EVA London 2025, London, UK

Generative AI has brought the need to redefine the forms of creative expression. The possibilities of AI-driven visual content creation allow contemporary composers to extend their creative abilities and become creators of audio-visual experiences. T... Read More about NeRF and Niagara Particles System: Transforming classical music composition into interactive music VR experience.

AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study (2025)
Presentation / Conference Contribution
Purswani, A., Moemeni, A., & Hosseini, A. (2025, July). AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study. Poster presented at Alzheimer’s Association International Conference, Toronto, Canada

This project presents an AI-driven diagnostic pipeline that integrates
multimodal data—MRI scans, cognitive scores, clinical biomarkers, and radiology reports to enhance early diagnostic accuracy. The system includes two key pipelines: (1) a volumet... Read More about AI-Driven Pipeline for Analysis and Classification of Neurodegenerative Diseases from Cognitive, Imaging, and Clinical Biomarkers from the CogNID Study.

Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty (2025)
Journal Article
Al-Tamimi, A.-K., Hewitt, L., Cameron, D., Salem, M., & Moemeni, A. (2025). Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty. Applied Sciences, 15(15), Article 8415. https://doi.org/10.3390/app15158415

The rapid increase in the global population of older adults presents a significant challenge, but also a unique opportunity to leverage technological advancements for promoting independent living and well-being. This study introduces the CIREI framew... Read More about Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty.

Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions (2025)
Journal Article
Alday, E. I., Arthur, K. N. A., Blok, V., Garst, J., Owen, R., & Stahl, B. C. (2025). Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions. Journal of Responsible Innovation, 12(1), https://doi.org/10.1080/23299460.2025.2529047

This editorial introduces a special issue examining whether and to what extent Responsible Research and Innovation (RRI) principles can take root within organisations operating in competitive environments. Drawing on Brecht's ‘food first and then mor... Read More about Embedding RRI in competitive environments: stakeholders, structures, and systemic tensions.

A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity (2025)
Presentation / Conference Contribution
Purswani, A., Goddard, T., Brookes, K. J., Rajamani, A., & Moemeni, A. (2025, July). A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity. Poster presented at Alzheimer’s Association International Conference , Toronto, Canada

This study addresses the challenge of accurately diagnosing Alzheimer's disease (AD) by identifying potential genetic biomarkers, aiming to improve early detection and analyse its complex pathogenesis. Traditional genetic prediction methods such as P... Read More about A Data-driven Approach for Genetic Prediction of Alzheimer's Diseases when Polygenic RiskScores Fail to account AD's Genetic Complexity.

Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals (2025)
Journal Article
Boudouraki, A., Waheed, M., Mestre, R., Landowska, A., Georgara, A., Deshmukh, J., Singh, L., Abioye, A. O., Tan, N., Tuyen, V., Dong, Y., Ao, S., Price, D., Fischer, J., & Gomez Bergin, A. (2025). Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals. Frontiers in Robotics and AI, 12, Article 1610329. https://doi.org/10.3389/frobt.2025.1610329

As populations grow, research looks to emerging adaptive technologies for the urgent challenge in providing suitable care for older adults. Drawing on implementation science, we conducted a holistic examination looking at broader, contextual factors... Read More about Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals.