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Other work by Kittler et al. [19] present a system architecture to detect anomalies in the machine perception domain.
This paper presents a new architecture to detect the frequency and amplitude of sinusoidal signals.
The proposed segmentation with three level thresholding along with the features extracted can be incorporated to any suitable classification architecture to detect pulmonary nodules with better accuracy.
RIG-I-like receptors (RLRs) utilize a specialized, multi-domain architecture to detect and respond to invasion by a diverse set of viruses.
In addition, Xu et al. propose the fractal dimension invariant filtering (FDIF) method and re-instantiated approximately via a CNN-based architecture to detect complicated curves from the texture-like images [32].
The underlying principle is that emotional appraisals of experience expressed internally as several MoNADs help the architecture to detect conceptual novelty and facilitate the generation and learning of new concepts.
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This system applies neural projection architectures to detect anomalous situations taking place in a computer network.
Therefore, alternative approaches are necessary to reconstruct macromolecular architecture and to detect any dynamic changes within the architecture.
In this paper, we propose an effective flood detection and prevention architecture, ColShield to detect flooding attacks and also report the specific victim client node and port being attacked.
The analysis in the time domain permits to evaluate the number of levels of the quantizer block inside the SQL architecture and to detect the number of cascaded stages inside the MASH architecture.
Based on this concept, we design two detection mechanisms fused on a softwarized switch topology measurement architecture environment to detect the attack models.
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