Application of machine learning in predicting frailty syndrome in patients with heart failure
Journal Article
Szczepanowski, R., Uchmanowicz, I., Pasieczna-Dixit, A. H., Sobecki, J., Katarzyniak, R., Kołaczek, G., …Kahsin, A. (2024)
Application of machine learning in predicting frailty syndrome in patients with heart failure. Advances in Clinical and Experimental Medicine, 33(3), 309-315. https://doi.org/10.17219/acem/184040
Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment ...
Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach
Journal Article
Aydin, E. E., Akcasoy, A., Cakir, F., Cansiz, B. S., Secinti, G., & Canberk, B. (2024)
Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach. IEEE Access, 12, 45631-45643. https://doi.org/10.1109/access.2024.3381859
Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application do...
Guest Editorial: Special Issue on Physics-Informed Machine Learning
Journal Article
Piccialli, F., Raissi, M., Viana, F. A. C., Fortino, G., Lu, H., & Hussain, A. (2024)
Guest Editorial: Special Issue on Physics-Informed Machine Learning. IEEE Transactions on Artificial Intelligence, 5(3), 964-966. https://doi.org/10.1109/tai.2023.3342563
The collaborative use of career information by young people and career advisers: A thematic content analysis of career counselling records
Journal Article
Milosheva, M., Robertson, P., Cruickshank, P., & Hall, H. (2024)
The collaborative use of career information by young people and career advisers: A thematic content analysis of career counselling records. Australian Journal of Career Development, 33(1), 72-81. https://doi.org/10.1177/10384162241232267
This study explores the career information-seeking behaviours of young people and career advisers. These are examined through the interrogation of a secondary data set held by...
Introduction: Between the Field and the Gallery: Exploring Anthropological Knowledge in South Asia
Journal Article
Bhattacharyaa, A., Cháirez-Garza, J., & Gould, W. (in press)
Introduction: Between the Field and the Gallery: Exploring Anthropological Knowledge in South Asia. South Asia: Journal of South Asian Studies, https://doi.org/10.1080/00856401.2024.2326755
This special section brings together the work of historians, anthropologists and museologists, exploring how anthropological and sociological knowledge has been produced, cons...
Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts
Journal Article
Sarvari, H., Asaadsamani, P., Olawumi, T. O., Chan, D. W., Rashidi, A., & Beer, M. (in press)
Perceived barriers to implementing building information modeling in Iranian Small and Medium-Sized Enterprises (SMEs): a Delphi survey of construction experts. Architectural Engineering and Design Management, https://doi.org/10.1080/17452007.2024.2329687
Building information modeling (BIM) is a disruptive information technology tool in the construction sector. Although this technology had a significant impact on the manufactur...
International consensus is needed on a core outcome set to advance the evidence of best practice in cancer prehabilitation services and research
Journal Article
Myers, A. M., Barlow, R. C., Baldini, G., Campbell, A. M., Carli, F., Carr, E. J., …Copeland, R. J. (in press)
International consensus is needed on a core outcome set to advance the evidence of best practice in cancer prehabilitation services and research. British Journal of Anaesthesia, https://doi.org/10.1016/j.bja.2024.02.021
Prehabilitation aims to optimise patients’ physical and psychological status before treatment. The types of outcomes measured to assess the impact of prehabilitation intervent...
Can we predict QPP? An approach based on multivariate outliers
Conference Proceeding
Chifu, A., Déjean, S., Garouani, M., Mothe, J., Ortiz, D., & Ullah, M. Z. (2024)
Can we predict QPP? An approach based on multivariate outliers. In Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings, Part III. https://doi.org/10.1007/978-3-031-56063-7_38
Query performance prediction (QPP) aims to predict the success and failure of a search engine on a collection of queries and documents. State of the art predictors can enable ...
Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments
Conference Proceeding
Casas, L., Mitchell, K., Tamariz, M., Hannah, S., Sinclair, D., Koniaris, B., & Kennedy, J. (in press)
Design Considerations of Voice Articulated Generative AI Virtual Reality Dance Environments.
We consider practical and social considerations of collaborating verbally with colleagues and friends, not confined by physical distance, but through seamless networked telepr...
Towards Building a Smart Water Management System (SWAMS) in Nigeria
Conference Proceeding
Bamgboye, O., Chrysoulas, C., Liu, X., Watt, T., Sodiya, A., Oyeleye, M., & Kalutharage, S. (in press)
Towards Building a Smart Water Management System (SWAMS) in Nigeria.
The water management landscape in Nigeria struggles with formidable obstacles characterized by a lack of adequate infrastructure, an uneven distribution of resources, and insu...