Results 11 to 20 of about 207,453 (329)
Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks
Journal of Medical Internet ResearchBackgroundSeveral potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD.
Antti Etholén +7 more
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Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks [PDF]
, 2023 Quesada D, Larrañaga P, Bielza C.
europepmc +2 more sources
Survey of Research on Non-homogeneous Gene Regulatory Network Models [PDF]
Jisuanji kexue yu tansuo, 2023 In the field of bioinformatics, the construction of gene regulatory networks is crucial. In recent years, non-homogeneous dynamic Bayesian networks have become a common modeling tool for learning gene regulatory networks from gene expression time-series ...
ZHANG Qianqian, HU Chunling, ZHANG Jiayao, LI Dawei, SHAO Mingyi
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Towards an Assembly Support System with Dynamic Bayesian Network
Applied Sciences, 2022 Due to the new technological advancements and the adoption of Industry 4.0 concepts, the manufacturing industry is now, more than ever, in a continuous transformation.
Stefan-Alexandru Precup +4 more
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Gene networks inference using dynamic Bayesian networks [PDF]
Bioinformatics, 2003 Abstract This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactions capable of handling missing variables is proposed.
Bruno-Edouard, Perrin +5 more
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Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network [PDF]
International Journal of Advanced Computer Science and Applications, 2011 في هذا التقرير، سنكون مهتمين بشبكة بايزي الديناميكية (DBNs) كنموذج يحاول دمج البعد الزمني مع عدم اليقين. نبدأ بأساسيات شبكة بايزي الديناميكية حيث نركز بشكل خاص على مفاهيم وخوارزميات الاستدلال والتعلم. ثم سنقدم مستويات وطرقًا مختلفة لإنشاء شبكات بايزي الديناميكية بالإضافة إلى مناهج دمج البعد الزمني في شبكة بايزي الثابتة.
Nabil Ghanmi +2 more
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Multisensory integration using dynamical Bayesian networks [PDF]
Frontiers in Computational Neuroscience, 2015 Multisensory Integration (MSI) is the study of how information coming from different sensory modalities, such as vision, audition and etc. are being integrated by the nervous system (Stein et al., 2009) as a complex system. MSI is one of the most important aspects of neuroscience which has a great influence on our decision making system. It plays a key
Abbas Shangari, Taher +3 more
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Machines, 2021 The reliability and cost-effectiveness of energy conversion in gas turbine systems are strongly dependent on an accurate diagnosis of possible process and sensor anomalies.
Valentina Zaccaria +2 more
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The engineering skills training process modeling using dynamic bayesian nets
Радіоелектронні і комп'ютерні системи, 2021 The subject of research in the article is the process of intelligent computer training in engineering skills. The aim is to model the process of teaching engineering skills in intelligent computer training programs through dynamic Bayesian networks ...
Andrey Chukhray, Olena Havrylenko
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Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS
IEEE Access, 2020 The complicated characteristics of wastewater treatment plants (WWTPs) significantly hinder the monitoring of industrial processes, and thus much attention has been paid to process modeling and prediction.
Hongbin Liu +4 more
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