Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Sequential Detection"”.
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Topics in decentralized detection
… new results in the areas of decentralized sequential detection and robust decentralized detection.
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Aggregation and influence in teams of imperfect decision makers
… agents use imperfect prior probabilities. Three detection models with multiple agents are investigated: distributed detection with symmetric fusion, sequential detection with social learning, and distributed detection with symmetric fusion and social learning. In the distributed detection with …
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Design of multi-channel spectrometers for scanning ion/electron microscopes
… of multi-channel analysers over conventional sequential detection are well known and are active areas of research both for electron energy spectroscopy and ion mass spectroscopy. Their inherent advantage of capturing the entire spectrum in parallel, promises at least an order of magnitude …
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Copula-based Multimodal Data Fusion for Inference with Dependent Observations
… this dependence.</p> <p>In distributed detection, the goal often is to minimize the probability of detection error at the fusion center (FC) based on a fixed number of observations collected by the sensors. We design optimal detection algorithms at the FC using a regular vine copula …
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Optimal path planning for detection and classification of underwater targets using sonar
… on choosing an optimal path for performing sequential detection and classification state estimation to identify potential underwater targets using sonar imagery. The detection state estimation falls under the occupancy grid framework, modeling the relationship between occupancy state of grid …
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Monitoring unknown source IP addresses and packet sizes to detect DDoS attacks
… c is a marked Poisson process, two parametric detection models are developed. The arrival of packet ows is modeled as Poisson process with cluster sizes that follows a mixture of discrete and heavy tailed distributions. Both detection systems monitor the percentage of unknown source IP …