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A data-driven framework for knowledge exchange analysis of ..:
, In:
2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
,
Georgiou, Konstantinos
;
Charmanas, Konstantinos
;
Papageorgiadis, Konstantinos
... - p. 386-393 , 2023
Link:
https://doi.org/10.1109/SEAA60479.2023.00065
RT T1 <cTitle>2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)</cTitle>: T1 <Title>A data-driven framework for knowledge exchange analysis of development issues in medical applications: A case study of COVID-19</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10371589&Exemplar=1&LAN=DE A1 Georgiou, Konstantinos A1 Charmanas, Konstantinos A1 Papageorgiadis, Konstantinos A1 Mittas, Nikolaos A1 Christidis, Georgios A1 Angelis, Lefteris YR 2023 SN 2376-9521 K1 COVID-19 K1 Procurement K1 Knowledge engineering K1 Biomedical equipment K1 Pandemics K1 Medical services K1 Programming K1 Scientific Software Development K1 Medical data K1 Q&A K1 Stack Overflow K1 Machine Learning SP 386 OP 393 LK http://dx.doi.org/https://doi.org/10.1109/SEAA60479.2023.00065 DO https://doi.org/10.1109/SEAA60479.2023.00065 SF ELIB - SuUB Bremen
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