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1 Ergebnisse
1
Artificial Intelligence Integration in e-Government: Insigh..:
, In:
2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
,
Yun, Chang Hee
;
Teoh, Ai Ping
;
Khaw, Tze Yin
- p. 1159-1164 , 2024
Link:
https://doi.org/10.1109/EEBDA60612.2024.10485972
RT T1 <cTitle>2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)</cTitle>: T1 <Title>Artificial Intelligence Integration in e-Government: Insights from the Korean Case</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10485972&Exemplar=1&LAN=DE A1 Yun, Chang Hee A1 Teoh, Ai Ping A1 Khaw, Tze Yin YR 2024 K1 Electrical engineering K1 Social sciences K1 Machine learning K1 Big Data K1 Mathematical models K1 Natural language processing K1 Data models K1 Artificial Intelligence K1 e-Government K1 Korea K1 United Theory of Acceptance and Use of Technology K1 Technology Acceptance Model SP 1159 OP 1164 LK http://dx.doi.org/https://doi.org/10.1109/EEBDA60612.2024.10485972 DO https://doi.org/10.1109/EEBDA60612.2024.10485972 SF ELIB - SuUB Bremen
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