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Bogdan Enescu, Cristian Ghita, Iren-Adelina Moldovan and Mircea Radulian
Background: The intermediate-depth seismicity in the Vrancea region (Romania) is characterized by localized and persistent earthquake activity that culminates about two or three times in a century with the occurrence of a large event (M = 6.5). Here we h...
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Emil Oynakov, Liliya Dimitrova, Lyubka Pashova and Dragomir Dragomirov
Although tsunamis in the Black Sea are rare and less destructive, recently, their study has been the subject of interest due to the increasing concentration of population and infrastructure in low-lying coastal areas. This study aims to elucidate the spa...
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Xiaotong Sun, Yu Xin, Zuocai Wang, Minggui Yuan and Huan Chen
This paper proposes the use of Gaussian Bayesian networks (GBNs) for damage detection of steel truss bridges by using the strain monitoring data. Based on the proposed damage detection procedure, a three-layer GBN model is first constructed based on the ...
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Zepeng Hu, Qi Wu, Jifeng Zou and Qun Wan
This paper addresses the two-dimensional (2D) direction-of-arrival (DOA) estimation issue for signals with known waveforms but unknown amplitudes using uniform circular array (UCA). Unlike maximum likelihood (ML) methods such as decoupled maximum likelih...
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Yaohang Lu and Zhongming Teng
Principal component analysis (PCA) is one of the most popular tools in multivariate exploratory data analysis. Its probabilistic version (PPCA) based on the maximum likelihood procedure provides a probabilistic manner to implement dimension reduction. Re...
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Edmundas Petrauskas, Petras Rup?ys, Martynas Narmontas, Marius Aleinikovas, Lina Beniu?iene and Benas ?ilinskas
This study examines the performance of 11 tree taper models to predict the diameter of bark at any given height and the total stem volume of eight dominant tree species in the boreal forests of Lithuania. Here, we develop eight new models using stochasti...
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Freddy Mora, Emmanuel Arnhold
Pág. 185 - 190
This study examines genetic breeding values and variance components of popping expansion and grain production by means of Bayesian inference and a mixed linear model approach in 96 S3 maize families. Best Linear Unbiased Predictors (BLUP) of family effec...
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Liu, Yu-Hsin; Mahmassani, Hani S.
Pág. 419 - 449
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