Items where Division is "Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing" and Year is 2022
Up a levelAbbas, Muhammad Azeem (2022) A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem. Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137
Ferriz-Papi, Juan and Weekes, Edward and Whitehead, Nik and Lee, Angela (2022) A cost-effective recycled aggregates classification procedure for construction and demolition waste evaluation. Construction and Building Materials, 324 (126642). ISSN 0950-0618
Hanna, R and Sutcliffe, Mark and Charlton, Peter and Mosey, Stephen (2022) Efficient Algebraic Image Reconstruction Technique for Computed Tomography. Insight - Non-Destructive Testing and Condition Monitoring, 64 (6). pp. 326-333. ISSN 1354-2575
Haughton, Odayne and Campbell, Carlene and Howe, Graham and Walcott, Terry H. (2022) Evaluating the integration of Blockchain Technologies in Supply Chain Management: a case study of sustainable fishing. In: 2022 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA), 15-16 December 2022, Skopje, North Macedonia.
Meredith, John and Whitehead, Nik and Dacey, Michael (2022) Aligning Semantic Interoperability Frameworks with the FOXS Stack for FAIR Health Data. Methods of Information in Medicine, 62. ISSN 2511-705X
Oyegoke, Adekunle Sabitu and Ajayi, Saheed and Abbas, Muhammad Azeem and Ogunlana, Stephen (2022) Development of Adapt-ABLE smart system — an end-to-end system for speeding up disabled housing adaptation process. International Journal of Building Pathology and Adaptation. (In Press)
Wells, Ian and Ware, Andrew and Dearing, Wendy (2022) Wales Institute of Digital Information (WIDI): A Model of Collaborative Health Education, CPD, Research and Innovation. In: Digital Professionalism in Health and Care: Developing the Workforce, Building the Future. Studies in Health Technology and Informatics, 298 . IOS Press, pp. 78-81. ISBN 9781643683119