All Outputs (2083)

Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices (2024)
Journal Article
Castle-Green, T., & Sailaja, N. (2024). Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices. BASE - Revista de Administração e Contabilidade da Unisinos, 9(10), 150-161. https://doi.org/10.52611/bdi.num10.2024.999

Electronic waste, commonly referred to as e-waste, is a health and environmental hazard that affects many people and ecosystems around the world. As the volume of e-waste continues to surge, it is imperative this issue is addressed. Contributing to t... Read More about Addressing E-Waste: Repair Café Processes as Barriers to Repair of Smart Devices.

SoftED: Metrics for Soft Evaluation of Time Series Event Detection (2024)
Journal Article
Salles, R., Lima, J., Reis, M., Coutinho, R., Pacitti, E., Masseglia, F., Akbarinia, R., Chen, C., Garibaldi, J., Porto, F., & Ogasawara, E. (in press). SoftED: Metrics for Soft Evaluation of Time Series Event Detection. Computers and Industrial Engineering,

Time series event detectors are evaluated mainly by standard classification metrics, focusing solely on detection accuracy. However, inaccuracy in detecting an event can often result from its preceding or delayed effects reflected in neighboring dete... Read More about SoftED: Metrics for Soft Evaluation of Time Series Event Detection.

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., & Stahl, B. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

Epimorphisms and acyclic types in univalent foundations (2024)
Journal Article
Buchholtz, U., De Jong, T., & Rijke, E. (in press). Epimorphisms and acyclic types in univalent foundations. Journal of Symbolic Logic,

We characterize the epimorphisms in homotopy type theory (HoTT) as the fiberwise acyclic maps and develop a type-theoretic treatment of acyclic maps and types in the context of synthetic homotopy theory as developed in univalent foundations. We prese... Read More about Epimorphisms and acyclic types in univalent foundations.

Augmenting Musical Instruments with Digital Identities (2024)
Journal Article
Benford, S., Mcgarry, G., Hazzard, A., Gibson, R., Avila, J., Chamberlain, A., & Mcgarry, G. (in press). Augmenting Musical Instruments with Digital Identities. Journal of New Music Research,

We explore how augmenting musical instruments with digital identities can enhance their provenance, utility during creative practice, and personal meaning. A literature review reveals the importance of object identities in general and instrument iden... Read More about Augmenting Musical Instruments with Digital Identities.

How Artists Improvise and Provoke Robotics (2024)
Presentation / Conference Contribution
Benford, S., Garrett, R., Schneiders, E., Tennent, P., Chamberlain, A., Avila, J., Brundell, P., & Castle-Green, S. (2024, October). How Artists Improvise and Provoke Robotics. Poster presented at 16th International Conference on Social Robotics + AI (ICSR + AI) 2024, Odense, Denmark

We explore transdisciplinary collaborations between artists and roboticists across a portfolio of artworks. Brendan Walker's Bronco-matic was a breath controlled mechanical rodeo bull ride. Blast Theory's Cat Royale deployed a robot arm to play with... Read More about How Artists Improvise and Provoke Robotics.

Impact over metrics: Turing and the ultimate contribution of cryptology (2024)
Journal Article
Furnell, S. (2024). Impact over metrics: Turing and the ultimate contribution of cryptology. Computer Journal, Article bxae103. https://doi.org/10.1093/comjnl/bxae103

Amongst his many lasting contributions, Alan Turing’s name is strongly linked to the domain of cryptology, particularly due to his pioneering wartime work in cryptanalysis. However, the fact that his work remained classified until many years later ha... Read More about Impact over metrics: Turing and the ultimate contribution of cryptology.

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities (2024)
Journal Article
Alkhulaifi, N., Bowler, A. L., Pekaslan, D., Serdaroglu, G., Closs, S., Watson, N. J., & Triguero, I. (2024). Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. IEEE Access, 12, 153935-153951. https://doi.org/10.1109/access.2024.3482572

As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions. Forecasting electricity use in FDCSs can help optimise... Read More about Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities.

Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation (2024)
Journal Article
Herzog, C., Blank, S., & Stahl, B. C. (2024). Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation. AI & Society, https://doi.org/10.1007/s00146-024-02082-z

In this article, we explore questions about the culture of trustworthy artificial intelligence (AI) through the lens of ecosystems. We draw on the European Commission’s Guidelines for Trustworthy AI and its philosophical underpinnings. Based on the l... Read More about Towards trustworthy medical AI ecosystems – a proposal for supporting responsible innovation practices in AI-based medical innovation.

Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring (2024)
Journal Article
Turner, A., & Sharkey, D. (2024). Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring. Sensors, 24(20), Article 6619. https://doi.org/10.3390/s24206619

Neurodevelopment is a highly intricate process, and early detection of abnormalities is critical for optimizing outcomes through timely intervention. Accurate and cost-effective diagnostic methods for neurological disorders, particularly in infants,... Read More about Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring.

Rethinking ethics in interdisciplinary and big data-driven neuroscience projects (2024)
Journal Article
Stahl, B. C., Ogoh, G., Schumann, G., Walter, H., On behalf of the environMENTAL consortium, Walter, H., Heinz, A., Ralser, M., Twardziok, S., Vaidya, N., Bernas, A., Serin, E., Jentsch, M., Hitchen, E., Polemiti, E., Kebir, H., Lett, T. A., Roy, J.-C., Eils, R., Taron, U.-H., …Ogoh, G. (2024). Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. nature mental health, 2, 1128–1130. https://doi.org/10.1038/s44220-024-00320-3

Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets (2024)
Journal Article
Gao, H., Huang, B., Chen, G., Xia, L., & Radenkovic, M. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment, 315, Article 114425. https://doi.org/10.1016/j.rse.2024.114425

The world’s first scientific satellite for sustainable development goals (SDGSAT-1) provides valuable data about offshore small-scale ocean phenomena, including the Kármán vortex street phenomenon. Although the simulation of the oce... Read More about Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets.

Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa (2024)
Journal Article
Busoms, S., da Silva, A. C., Escolà, G., Abdilzadeh, R., Curran, E., Bollmann-Giolai, A., Bray, S., Wilson, M., Poschenrieder, C., & Yant, L. (2024). Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa. Proceedings of the National Academy of Sciences, 121(40), Article e2407821121. https://doi.org/10.1073/pnas.2407821121

It is normally supposed that populations of the same species should evolve shared mechanisms of adaptation to common stressors due to evolutionary constraint. Here, we describe a system of within-species local adaptation to coastal habitats, Brassica... Read More about Local cryptic diversity in salinity adaptation mechanisms in the wild outcrossing Brassica fruticulosa.

FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems (2024)
Journal Article
Li, J., Jiang, W., He, Y., Yang, Q., Gao, A., Ha, Y., Özcan, E., Bai, R., Cui, T., & Yu, H. (2024). FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2024.3465933

Deep Reinforcement Learning (DRL)-based Dynamic Voltage Frequency Scaling (DVFS) has shown great promise for energy conservation in embedded systems. While many works were devoted to validating its efficacy or improving its performance, few discuss t... Read More about FiDRL: Flexible Invocation-Based Deep Reinforcement Learning for DVFS Scheduling in Embedded Systems.

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima (2024)
Journal Article
Yu, Y., Huang, B., Radenkovic, M., Wang, T., & Chen, G. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4211013. https://doi.org/10.1109/tgrs.2024.3464850

Subsurface chlorophyll maximum (SCM) is a crucial ecological indicator for marine ecosystems. Previous studies have indicated that this phenomenon is globally widespread. Although the biogeochemical argo assimilation results have yielded positive res... Read More about Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

The Earth, Brain, Health Commission: how to preserve mental health in a changing environment (2024)
Journal Article
Schumann, G., Barciela, R., Benegal, V., Bernard, A., Desrivieres, S., Feng, J., Gong, P., Heinz, A., Hunt, X., Jin, L., Luterbacher, J., Marquand, A., Meyer-Lindenberg, A., Salomon, J., Schwalber, A., Shetty, S., Stahl, B., & Thompson, P. (2024). The Earth, Brain, Health Commission: how to preserve mental health in a changing environment. nature mental health, 2, 1121–1123. https://doi.org/10.1038/s44220-024-00314-1

Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide (2024)
Journal Article
Taher, R., Hall, C. L., Gomez Bergin, A. D., Gupta, N., Heaysman, C., Jacobsen, P., Kabir, T., Kalnad, N., Keppens, J., Hsu, C.-W., McGuire, P., Peters, E., Shergill, S., Stahl, D., Wensley Stock, B., & Yiend, J. (2024). Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide. Trials, 25, Article 604. https://doi.org/10.1186/s13063-024-08421-1

Background: The field of digital mental health has followed an exponential growth trajectory in recent years. While the evidence base has increased significantly, its adoption within health and care services has been slowed by several challenges, inc... Read More about Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide.

Explain the world – Using causality to facilitate better rules for fuzzy systems (2024)
Journal Article
Zhang, T., Wagner, C., & Garibaldi, J. M. (2024). Explain the world – Using causality to facilitate better rules for fuzzy systems. IEEE Transactions on Fuzzy Systems, 1-14. https://doi.org/10.1109/tfuzz.2024.3457962

The rules of a rule-based system provide explanations for its behaviour by revealing the relationships between the variables captured. However, ideally, we have AI systems which go beyond explainable AI (XAI), that is, systems which not only explain... Read More about Explain the world – Using causality to facilitate better rules for fuzzy systems.

The sound heritage of Kotagede: the evolving soundscape of a living museum (2024)
Journal Article
Mediastika, C. E., Sudarsono, A. S., Utami, S. S., Setiawan, T., Mansell, J. G., Santosa, R. B., Wiratama, A., Yanti, R. J., & Cliffe, L. (2024). The sound heritage of Kotagede: the evolving soundscape of a living museum. Built Heritage, 8(1), Article 38. https://doi.org/10.1186/s43238-024-00145-0

Kotagede, the capital of the ancient Mataram Kingdom and currently an area in the Yogyakarta Province of Indonesia, is known as a ‘real living museum’. It was previously a residential area with many vital premises and heritage buildings that became a... Read More about The sound heritage of Kotagede: the evolving soundscape of a living museum.