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On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing
The distributed system is such that the sensors and the FC sample observations periodically, where the sampling times are not necessarily synchronous, i. e., the sampling times at different sensors and the FC may be different from each other.
Sequential Processing of Observations in Human Decision-Making Systems
In this work, we consider a binary hypothesis testing problem involving a group of human decision-makers.
Efficient Ordered-Transmission Based Distributed Detection under Data Falsification Attacks
In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision.
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