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Enhancing Cybersecurity in the Supply Chain through Predict..:
, In:
2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
,
Ananthi, P.
;
Nirmala Devi, K.
;
Gopinath, D
. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/AIMLA59606.2024.10531400
RT T1
2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
: T1
Enhancing Cybersecurity in the Supply Chain through Predictive Analytics for Cyber Threats
UL https://suche.suub.uni-bremen.de/peid=ieee-10531400&Exemplar=1&LAN=DE A1 Ananthi, P. A1 Nirmala Devi, K. A1 Gopinath, D A1 Karthikeyan, C YR 2024 K1 Machine learning algorithms K1 Supply chains K1 Predictive models K1 Prediction algorithms K1 Boosting K1 Bayes methods K1 Classification algorithms K1 supply chain K1 cybersecurity K1 predictive analytics K1 Naive Bayes algorithm K1 Gradient Boosting algorithm K1 cyber threat SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/AIMLA59606.2024.10531400 DO https://doi.org/10.1109/AIMLA59606.2024.10531400 SF ELIB - SuUB Bremen
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