This work addresses the problem of detecting gas dispersions through concentration
sensors with wireless transmission capabilities organized as a distributed Wireless Sensor …

In this paper, we consider the problem of distributed sequential detection using wireless
sensor networks in the presence of imperfect communication channels between the sensors …

In this work, we propose a non-parametric sequential hypothesis test based on random
distortion testing (RDT). RDT addresses the problem of testing whether or not a random …

针对圆概率偏差检验难以直接计算的问题, 提出序贯截尾概率圆检验方法, 以目标点为中心,
绘制两个同心圆, 其中小圆以内区域为接受域, 大圆以外区域为拒绝域, 中间区域为继续试验域 …

This thesis delves into the detection and localization aspects of distributed Wireless Sensor
Networks (WSNs). Specifically, the research concentrates on WSNs in which sensors …

Sequential analysis has been used in many cases when the decision is supposed to be
taken quickly such as for signal detection in statistical signal processing, namely sequential …

In this paper, we evolve from sparsity, a key concept in robust statistics, to concepts and
theoretical results of what we call the mathematics of resilience, at the interface between …

Abstract Random Distortion Testing (RDT) addresses the problem of testing whether the
Mahalanobis distance between a known deterministic model θ0 and a random signal Θ with …

The objective of this thesis is the development of new cyberattack detection methods based
on machine learning techniques. This work focused on industrial systems, and consisted in …