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This model is implemented and analyzed in the context of a Health Condition Monitoring System for recognizing and keeping track of changes in the Activities of ...
Abstract. The abundance of sensors in daily life infrastructures and mobile devices can allow to determine what the users are doing, which is the situation ...
Probabilistic Situation Modeling from Ambient Sensors in a Health Condition Monitoring System. G. López, and R. Brena. UCAmI, volume 8276 of Lecture Notes ...
This paper presents a new approach to optimal sensor design for structural health monitoring (SHM) applications using a modified f-divergence objective ...
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In this paper, a probabilistic Bayesian network for fault detection and identification is applied to a fleet of engines, simulated by an adaptive performance ...
ABSTRACT. In data-driven SHM, the signals recorded from systems in operation can be noisy and incomplete. Data corresponding to each of the operational, ...
Jul 26, 2023 · This paper introduces a novel model for dam health monitoring, focused on monitoring radial displacement and seepage, using optimized sparse ...
Probabilistic Situation Modeling from Ambient Sensors in a Health Condition Monitoring System · Computer Science, Engineering. UCAmI · 2013.
Jul 1, 2022 · This article proposes a novel probabilistic machine learning method based on unsupervised novelty detection for health monitoring of civil structures.
The main goal of employing the wearable sensor system is to conduct rehabilitation process more effectively and increase the rate of successful rehabilitation.