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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Pioneering AI, Data Science and Multimedia Techniques and Findings for COVID-19” (SI 1192).
Of 31 papers submitted, 2 were accepted for this issue after a stringent peer review process.
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Teesside University, UK
Email: V.Chang@tees.ac.uk
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Leeds Beckett University, UK
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Universitat Oberta de Catalunya, Barcelona, Spain
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Pioneering AI, Data Science and Multimedia Techniques and Findings for COVID-19. Multimed Tools Appl 81, 1 (2022). https://doi.org/10.1007/s11042-021-11836-6
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DOI: https://doi.org/10.1007/s11042-021-11836-6