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All Outputs (4204)

Sign in Human-Sound Interaction (2022)
Book Chapter
Di Donato, B. (2022). Sign in Human-Sound Interaction. In J. L. Drever, & A. Hugill (Eds.), Aural Diversity (187-192). Routledge. https://doi.org/10.4324/9781003183624-21

This chapter explores the concept of Human–Sound Interaction (HSI) in music performance in the context of Aural Diversity. HSI focuses on human factors in experiencing sound and how this affects interaction with instruments. HSI looks at people’s div... Read More about Sign in Human-Sound Interaction.

DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data (2022)
Journal Article
Saidi, H., Labraoui, N., Ari, A. A. A., Maglaras, L. A., & Emati, J. H. M. (2022). DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data. IEEE Access, 10, 101011-101028. https://doi.org/10.1109/access.2022.3207803

In recent years, the interest in using wireless communication technologies and mobile devices in the healthcare environment has increased. However, despite increased attention to the security of electronic health records, patient privacy is still at... Read More about DSMAC: Privacy-Aware Decentralized Self-Management of Data Access Control Based on Blockchain for Health Data.

Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices (2022)
Journal Article
Ullah, A., Ojaroudi Parchin, N., Amar, A. S. I., & Abd-Alhameed, R. A. (2022). Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices. Electronics, 11(18), Article 2962. https://doi.org/10.3390/electronics11182962

This study aims to introduce a new phased array design with improved radiation properties for future cellular networks. The procedure of the array design is simple and has been accomplished on a low-cost substrate material while offering several inte... Read More about Eight-Element Antenna Array with Improved Radiation Performances for 5G Hand-Portable Devices.

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling (2022)
Journal Article
Comminiello, D., Nezamdoust, A., Scardapane, S., Scarpiniti, M., Hussain, A., & Uncini, A. (2023). A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Transactions on Systems, Man and Cybernetics: Systems, 53(3), 1384-1396. https://doi.org/10.1109/tsmc.2022.3202656

Nonlinear models are known to provide excellent performance in real-world applications that often operate in nonideal conditions. However, such applications often require online processing to be performed with limited computational resources. To addr... Read More about A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.

DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm (2022)
Journal Article
Aboud, A., Rokbani, N., Fdhila, R., Qahtani, A. M., Almutiry, O., Dhahri, H., Hussain, A., & Alimi, A. M. (2022). DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm. Applied Soft Computing, 129, Article 109622. https://doi.org/10.1016/j.asoc.2022.109622

Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective optimization but has not been considered for solving dynamic multi-objective problems (DMOPs). Tracki... Read More about DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm.

A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion (2022)
Journal Article
Gao, F., Xu, J., Lang, R., Wang, J., Hussain, A., & Zhou, H. (2022). A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion. Remote Sensing, 14(18), Article 4583. https://doi.org/10.3390/rs14184583

Convolutional Neural Network (CNN) has been widely applied in the field of synthetic aperture radar (SAR) image recognition. Nevertheless, CNN-based recognition methods usually encounter the problem of poor feature representation ability due to insuf... Read More about A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion.

Classification of Skin Cancer Lesions Using Explainable Deep Learning (2022)
Journal Article
Zia Ur Rehman, M., Ahmed, F., Alsuhibany, S. A., Jamal, S. S., Zulfiqar Ali, M., & Ahmad, J. (2022). Classification of Skin Cancer Lesions Using Explainable Deep Learning. Sensors, 22(18), Article 6915. https://doi.org/10.3390/s22186915

Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases. Re... Read More about Classification of Skin Cancer Lesions Using Explainable Deep Learning.

The creative use of digitised archives: case study of Lorna Lloyd’s ‘Diary of the War’ podcast series (2022)
Presentation / Conference Contribution
Ryan, B., Hall, H., Wilson, M., & Berger, J. (2022, September). The creative use of digitised archives: case study of Lorna Lloyd’s ‘Diary of the War’ podcast series. Presented at The BBC at 100 Symposium, National Science and Media Museum, Bradford

The roundtable discussion is concerned with the creative use of digitised archives in the work undertaken for the AHRC Creative Informatics funded Platform to Platform project. This centres on the exploitation, augmentation, and exhibition of a set o... Read More about The creative use of digitised archives: case study of Lorna Lloyd’s ‘Diary of the War’ podcast series.

Federated Learning for Short-term Residential Load Forecasting (2022)
Journal Article
Briggs, C., Fan, Z., & Andras, P. (2022). Federated Learning for Short-term Residential Load Forecasting. IEEE Open Access Journal of Power and Energy, 9, 573-583. https://doi.org/10.1109/oajpe.2022.3206220

Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters wi... Read More about Federated Learning for Short-term Residential Load Forecasting.

Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement (2022)
Journal Article
Passos, L. A., Papa, J. P., Del Ser, J., Hussain, A., & Adeel, A. (2023). Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Information Fusion, 90, 1-11. https://doi.org/10.1016/j.inffus.2022.09.006

This paper proposes a novel multimodal self-supervised architecture for energy-efficient audio-visual (AV) speech enhancement that integrates Graph Neural Networks with canonical correlation analysis (CCA-GNN). The proposed approach lays its foundati... Read More about Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement.

Seguranca e o Metaverso (2022)
Presentation / Conference Contribution
Haynes, D. (2022, September). Seguranca e o Metaverso. Presented at Unesp and UFSC Universities, Sao Paulo State, Brazil [online]

Talk in Portuguese to colleagues at Unesp and UFSC Universities in Sao Paulo state, Brazil. The talk was delivered via an online connection and is available as a recording on YouTube. The talk outlined some of the problems of privacy and security... Read More about Seguranca e o Metaverso.

Seguranca digital e o regulacao do metaverso (in Portuguese) (2022)
Presentation / Conference Contribution
Haynes, D. (2022, September). Seguranca digital e o regulacao do metaverso (in Portuguese)

This summarises the research questions being investigated in the Starter grant 2021 to investigate the usage of and attitudes towards the metaverse in the UK. The purpose of the talk is to stimulate discussion with Brazilian partners to form the basi... Read More about Seguranca digital e o regulacao do metaverso (in Portuguese).

Evaluating Colour in Concept Diagrams (2022)
Presentation / Conference Contribution
McGrath, S., Blake, A., Stapleton, G., Touloumis, A., Chapman, P., Jamnik, M., & Shams, Z. (2022, September). Evaluating Colour in Concept Diagrams. Presented at International Conference on the Theory and Application of Diagrams, Rome

This paper is the first to establish the impact of colour on users' ability to interpret the informational content of concept diagrams, a logic designed for ontology engineering. Motivation comes from results for Euler diagrams, which form a fragment... Read More about Evaluating Colour in Concept Diagrams.

Pushing the limits of remote RF sensing by reading lips under the face mask (2022)
Journal Article
Hameed, H., Usman, M., Tahir, A., Hussain, A., Abbas, H., Cui, T. J., Imran, M. A., & Abbasi, Q. H. (2022). Pushing the limits of remote RF sensing by reading lips under the face mask. Nature Communications, 13(1), Article 5168. https://doi.org/10.1038/s41467-022-32231-1

The problem of Lip-reading has become an important research challenge in recent years. The goal is to recognise speech from lip movements. Most of the Lip-reading technologies developed so far are camera-based, which require video recording of the ta... Read More about Pushing the limits of remote RF sensing by reading lips under the face mask.

Apprentices' longitudinal perspectives of the tripartite collaboration at the heart of degree apprenticeships (2022)
Presentation / Conference Contribution
Taylor-Smith, E., Smith, S., & Fabian, K. (2022, September). Apprentices' longitudinal perspectives of the tripartite collaboration at the heart of degree apprenticeships. Paper presented at Organisational Learning, Knowledge and Capabilities, OLKC 2022, Trollhättan, Sweden

Purpose: In degree apprenticeships, the tripartite collaboration between the apprentice, the employer, and the university is key to success. As the apprentices are at the centre of the degree, their lived experience and reflections are essential to... Read More about Apprentices' longitudinal perspectives of the tripartite collaboration at the heart of degree apprenticeships.

Procedural Audio For Virtual Environments Workshop (2022)
Presentation / Conference Contribution
Di Donato, B., & Selfridge, R. (2022, September). Procedural Audio For Virtual Environments Workshop. Presented at Audio Mostly, St. Pölten, Austria

Sound design is a crucial aspect of interactive virtual environments (VEs). Often, this activity is fixated by the constraints of the tools we use or our perception of that medium. In this on-site workshop, we present methods to model sound-producing... Read More about Procedural Audio For Virtual Environments Workshop.

Transactional distance in the context of online and blended learning (2022)
Presentation / Conference Contribution
Fabian, K., Smith, S., Taylor-Smith, E., & Meharg, D. (2022, September). Transactional distance in the context of online and blended learning. Paper presented at Association for Learning Technology Annual Conference, Manchester

Moore’s (1993) transactional distance theory recognises that communications and psychological distance between learner and teacher are affected by course structure, dialogue between lecturers and students, and learner’s autonomy. These factors affect... Read More about Transactional distance in the context of online and blended learning.

Ontology-Based Linked Data to Support Decision Making within Universities (2022)
Journal Article
Ashour, G., Al-Dubai, A., Romdhani, I., & Alghazzawi, D. (2022). Ontology-Based Linked Data to Support Decision Making within Universities. Mathematics, 10(17), Article 3148. https://doi.org/10.3390/math10173148

In recent years, educational institutions worked hard to automate their work using more trending technologies that prove the success in supporting decision-making processes. Most the decisions in educational institutions rely on rating the academic r... Read More about Ontology-Based Linked Data to Support Decision Making within Universities.

Participant-centred planning framework for effective gender balance activities in tech (2022)
Presentation / Conference Contribution
Taylor-Smith, E., Barnett, C., Smith, S., Barr, M., & Shankland, C. (2022, September). Participant-centred planning framework for effective gender balance activities in tech. Presented at The United Kingdom and Ireland Computing Education Research (UKICER) conference from the UK ACM Special Interest Group in Computing Science Education Chapter (UKICER 2022), Mountmellick, Ireland

The gender imbalance in the tech industry [21], mirrored in computing education [13], is problematic in terms of providing appropriate products and services for the whole population. This lack of diversity and inclusion is also self-perpetuating thro... Read More about Participant-centred planning framework for effective gender balance activities in tech.

Connecting, Collaborating, Creating: The Experiences of Creative Freelancers in Edinburgh in 2022 (2022)
Report
Connell, L., Orme, A., Osborne, N., Panneels, I., Patrick-Thomson, H., Terras, M., & Wojtkiewicz, O. (2022). Connecting, Collaborating, Creating: The Experiences of Creative Freelancers in Edinburgh in 2022. Edinburgh: Creative Edinburgh

This report provides a snapshot of the state and needs of creative freelancers in the Edinburgh region in 2022. The last few years have been both interesting and challenging for creative freelancers in Scotland. Given the constraints caused by the... Read More about Connecting, Collaborating, Creating: The Experiences of Creative Freelancers in Edinburgh in 2022.