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Combining multiple detection systems, including cameras, sonar and lasers, could improve accuracy and reliability.
We have designed multiple detection systems for the DNA strand exchange process.
The implanted sensors use multiple detection systems, including enzyme- (usually glucose oxidase), electrode-, and fluorescence-based techniques.
This study entails the evaluation of and selection among multiple detection systems for ChIP-seq peak identification.
The use of the rank function in our evaluation of multiple detection systems provides a generic framework to study the preference and relative preference for the method (or system) selection process.
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In this paper, we present the design of a collaborative architecture for multiple intrusion detection systems to work together to detect real-time network intrusions.
The distributed IDS systems consist of multiple intrusion detection systems which are dissimilar in nature.
The work in this paper discusses the limitations and issues with evidence theory and proposes a modified framework for fusion of alarms of multiple intrusion detection systems.
For alert fusion of multiple intrusion detection systems, four heterogeneous intrusion detection systems namely, Snort, Suricata, packet header anomaly detector (PHAD) and network anomaly detector (NETAD) have been selected.
Because of the orthonormality of the inner cladding modes [ 16], confocal imaging using a DCF can be considered as an incoherent sum of multiple coherent detection systems (one for each inner cladding mode) [ 17].
A prospective approach for improving performance is through the use of multiple sensors/intrusion detection system.
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