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   Articles with "fully probabilistic" as a keyword



A fully probabilistic framework to compute the residual rockfall risk in presence of mitigation measures

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recommendations! Published in 2024 at "Landslides"

DOI: 10.1007/s10346-024-02377-8

Abstract: Rockfall events are expected to rise throughout the future due to climate change and extreme meteorological events. In the perspective of climate change adaptation, an accurate quantification of the risk is needed, together with a… read more here.

Keywords: framework compute; presence; probabilistic framework; risk ... See more keywords

Decentralised fully probabilistic design for stochastic networks with multiplicative noise

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recommendations! Published in 2023 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2023.2210568

Abstract: ABSTRACT In this paper, we present an innovative decentralised control framework, designed to address stochastic dynamic complex systems that are influenced by multiple multiplicative noise factors. Our advanced approach builds upon the foundation of conventional… read more here.

Keywords: noise; fully probabilistic; multiplicative noise; decentralised fully ... See more keywords

Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3182807

Abstract: Gaussian processes (GPs) are becoming a standard tool to build terrain representations thanks to their capacity to model map uncertainty. This effectively yields a reliability measure of the areas of the map, which can be… read more here.

Keywords: localization; fully probabilistic; probabilistic terrain; terrain ... See more keywords

Hierarchical Fully Probabilistic Design for Deliberator-Based Merging in Multiple Participant Systems

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recommendations! Published in 2018 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"

DOI: 10.1109/tsmc.2016.2608662

Abstract: We address the problem of merging probabilistic knowledge in a centralized (nonflat) multiple participant system. Each participant independently reports a known distribution of a common quantity of interest to an extra participant, called the deliberator.… read more here.

Keywords: design; probabilistic design; systems hierarchical; fully probabilistic ... See more keywords