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1 Ergebnisse
1
Parameter Tuned Extreme Gradient Boosting Model for Industr..:
, In:
2023 6th International Conference on Engineering Technology and its Applications (IICETA)
,
Issa, Samer Saeed
;
Alkhayyat, Ahmed
;
Abosinnee, Ali S.
... - p. 701-707 , 2023
Link:
https://doi.org/10.1109/IICETA57613.2023.10351446
RT T1 <cTitle>2023 6th International Conference on Engineering Technology and its Applications (IICETA)</cTitle>: T1 <Title>Parameter Tuned Extreme Gradient Boosting Model for Industrial Threat Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10351446&Exemplar=1&LAN=DE A1 Issa, Samer Saeed A1 Alkhayyat, Ahmed A1 Abosinnee, Ali S. A1 Kadeem, Sahar R. Abdul A1 Jaffer, Zain A1 Hussein, Abbas Hameed Abdul YR 2023 SN 2831-753X K1 Telecommunication traffic K1 Boosting K1 Malware K1 Threat assessment K1 Real-time systems K1 Classification algorithms K1 Computer crime K1 Industry K1 threat detection K1 cybersecurity K1 internet of things K1 xgboost K1 political optimizer SP 701 OP 707 LK http://dx.doi.org/https://doi.org/10.1109/IICETA57613.2023.10351446 DO https://doi.org/10.1109/IICETA57613.2023.10351446 SF ELIB - SuUB Bremen
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