Results 1 to 10 of about 2,955,171 (326)
Entropy, 2021 The degree distribution has attracted considerable attention from network scientists in the last few decades to have knowledge of the topological structure of networks. It is widely acknowledged that many real networks have power-law degree distributions.
Hohyun Jung, Frederick Kin Hing Phoa
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Clustering Longitudinal Data Using R: A Monte Carlo Study
Methodology, 2022 The analysis of change within subjects over time is an ever more important research topic. Besides modelling the individual trajectories, a related aim is to identify clusters of subjects within these trajectories.
Peter Verboon, Ron Pat-El
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Modeling Recovery Rates of Small- and Medium-Sized Entities in the US
Mathematics, 2020 A sound statistical model for recovery rates is required for various applications in quantitative risk management, with the computation of capital requirements for loan portfolios as one important example.
Aleksey Min +3 more
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CFD Comparison of multiphase models in the pool boiling state
Curved and Layered Structures, 2022 With the development of simulation technology and programs, it became necessary to study the models that control equations’ solutions and influence the results.
Enjadat Suleiman MJ.
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Entropy, 2021 Predicting the void fraction of a two-phase flow outside of tubes is essential to evaluate the thermohydraulic behaviour in steam generators. Indeed, it determines two-phase mixture properties and affects two-phase mixture velocity, which enable ...
Claire Dubot +5 more
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Mathematics, 2021 In this study, thermal performance and flow characteristics of a shell and tube heat exchanger equipped with various baffle angles were studied. The heat exchanger was operated with distilled water, and a hybrid nanofluid at three concentrations of 0.04%
Mashhour A. Alazwari +1 more
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A Variational Autoencoder Mixture Model for Online Behavior Recommendation
IEEE Access, 2020 Online behavior recommendation is an attractive research topic related to social media mining. This topic focuses on suggesting suitable behaviors for users in online platforms, including music listening, video watching, e-commerce, to name but a few to ...
Minh-Duc Nguyen, Yoon-Sik Cho
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Gaussian mixture model for time series-based structural damage detection
Computer Assisted Methods in Engineering and Science, 2017 In this paper, a time series-based damage detection algorithm is proposed using Gaussian mixture model (GMM) and expectation maximization (EM) framework. The vibration time series from the structure are modelled as the autoregressive (AR) processes. The
Marek Słoński
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Research on flow characteristics of aerostatic circular thrust bearing
The Journal of Engineering, 2018 In order to improve the pressure distribution, the aerostatic circular thrust bearing with single supply hole was studied. In the computational fluid dynamics (CFD) simulation, the laminar model, the turbulent model, the mixture model of laminar and ...
Hechun Yu +4 more
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Long Time Sequential Task Learning From Unstructured Demonstrations
IEEE Access, 2019 Learning from demonstration (LfD), which provides a natural way to transfer skills to robots, has been extensively researched for decades, and an army of methods and applications have been developed and investigated for learning an individual or low ...
Huiwen Zhang, Yuwang Liu, Weijia Zhou
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