Shahram Rahimi
3 indexed papers
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The paper proposes a comprehensive, dual-layer architectural framework for AI identification and traceability, ensuring continuous accountability and regulatory oversight throughout the entire lifecycle of AI systems in digital enterprises.
The paper evaluates 27 different Spiking Neural Network (SNN) configurations to determine the optimal design for network intrusion detection, finding that the LeakyParallel neuron combined with latency encoding yields superior performance and speed.
The paper systematically evaluates 27 Spiking Neural Network (SNN) configurations to determine the optimal combination of neuron model and spike encoding scheme for network intrusion detection, finding that the LeakyParallel neuron with latency encoding performs best.
Papers
On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection
Raj Patel, David Amebley, Taye Akinrele, Shaswata Mitra +2 more
The paper evaluates 27 different Spiking Neural Network (SNN) configurations to determine the optimal design for network intrusion detection, finding that the LeakyParallel neuron combined with latenc…