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1 Ergebnisse
1
ADAM Optimizer Based Convolutional Auto Encoder for Detecti..:
, In:
2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)
,
Rahul Chiranjeevi, V
;
Dhanasekaran, S
;
Murugan, B S
. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/IC3IoT60841.2024.10550267
RT T1 <cTitle>2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)</cTitle>: T1 <Title>ADAM Optimizer Based Convolutional Auto Encoder for Detecting Anomalies in Surveillance Videos</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10550267&Exemplar=1&LAN=DE A1 Rahul Chiranjeevi, V A1 Dhanasekaran, S A1 Murugan, B S A1 Senthil Pandi, S YR 2024 K1 Deep learning K1 Machine learning algorithms K1 Convolution K1 Surveillance K1 Computational modeling K1 Video sequences K1 Object detection K1 Feature Encoder K1 Unsupervised Learning K1 Deep Learning K1 I3D K1 Convolutional Neural Network SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/IC3IoT60841.2024.10550267 DO https://doi.org/10.1109/IC3IoT60841.2024.10550267 SF ELIB - SuUB Bremen
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