Items where Division is "Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing" and Year is 2022
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Abbas, 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
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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
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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.
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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
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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)
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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