Bayesian Approach to Probabilistic Design Space Characterization: A Nested Sampling Strategy
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b05006
Abstract: Quality by design in pharmaceutical manufacturing hinges on computational methods and tools that are capable of accurate quantitative prediction of the design space. This paper investigates Bayesia... read more here.
Keywords: probabilistic design; bayesian approach; design space; approach probabilistic ... See more keywords
Decentralised fully probabilistic design for stochastic networks with multiplicative noise
Sign Up to like & getrecommendations! 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
Hierarchical Fully Probabilistic Design for Deliberator-Based Merging in Multiple Participant Systems
Sign Up to like & getrecommendations! 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
Probabilistic Design of Retaining Wall Using Machine Learning Methods
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DOI: 10.3390/app11125411
Abstract: Retaining walls are geostructures providing permanent lateral support to vertical slopes of soil, and it is essential to analyze the failure probability of such a structure. To keep the importance of geotechnics on par with… read more here.
Keywords: wall; artificial intelligence; machine learning; probabilistic design ... See more keywords
A Parametric Physics-Informed Deep Learning Method for Probabilistic Design of Thermal Protection Systems
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16093820
Abstract: Precise and efficient calculations are necessary to accurately assess the effects of thermal protection system (TPS) uncertainties on aerospacecrafts. This paper presents a probabilistic design methodology for TPSs based on physics-informed neural networks (PINNs) with… read more here.
Keywords: thermal protection; physics; design; physics informed ... See more keywords