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An FPGA-Based Weightless Neural Network for Edge Network In..:

, In: Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays,

Susskind, Zachary ; Arora, Aman ; Bacellar, Alan T. L.... - p. 232 ff. , 2023

Link: https://dl.acm.org/doi/10.1145/3543622.3573140

RT 
T1 <cTitle>Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays</cTitle>: T1 <Title>An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3573140&Exemplar=1&LAN=DE
				
A1 Susskind, Zachary
A1 Arora, Aman
A1 Bacellar, Alan T. L.
A1 Dutra, Diego L. C.
A1 Miranda, Igor D. S.
A1 Breternitz Jr., Mauricio
A1 Lima, Priscila M. V.
A1 França, Felipe M. G.
A1 John, Lizy K.
PB ACM
YR 2023
K1 hardware acceleration
K1 network intrusion detection
K1 weightless neural networks
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Security and privacy
K1 Intrusion/anomaly detection and malware mitigation
K1 Intrusion detection systems
K1 Hardware
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Special purpose systems
SP 232 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3543622.3573140
DO https://dl.acm.org/doi/10.1145/3543622.3573140
SF ELIB - SuUB Bremen

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