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Theodoros Psallidas and Evaggelos Spyrou
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content. Users are overexposed to videos via several social media or video sharing websites and mobile phone appli...
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Sepideh J. Rastin, David A. Rhoades, Christopher Rollins and Matthew C. Gerstenberger
Strain rates have been included in multiplicative hybrid modelling of the long-term spatial distribution of earthquakes in New Zealand (NZ) since 2017. Previous modelling has shown a strain rate model to be the most informative input to explain earthquak...
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Marta Galvani, Chiara Bardelli, Silvia Figini and Pietro Muliere
Bootstrap resampling techniques, introduced by Efron and Rubin, can be presented in a general Bayesian framework, approximating the statistical distribution of a statistical functional ϕ(F)" role="presentation">??(??)?(F)
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(
F
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, where F is a...
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Traian Mihai Popescu, Alina Madalina Popescu and Gabriela Prostean
Nowadays, Internet of Things (IoT) adoptions are burgeoning and deemed the lynchpin towards achieving ubiquitous connectivity. In this context, defining and leveraging robust IoT security risk management strategies are paramount for secure IoT adoptions....
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Filippo Landi, Francesca Marsili, Noemi Friedman and Pietro Croce
In civil and mechanical engineering, Bayesian inverse methods may serve to calibrate the uncertain input parameters of a structural model given the measurements of the outputs. Through such a Bayesian framework, a probabilistic description of parameters ...
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Larysa Yuzevych,Ruslan Skrynkovskyy,Volodymyr Yuzevych,Vitalii Lozovan,Grzegorz Pawlowski,Mykhailo Yasinskyi,Ihor Ogirko
Pág. 56 - 64
A set of key parameters and information flows has been formed to simulate stages of probing the outside surface of underground metal pipelines (UMP) taking into account pH of the soil contacting with the pipe metal.Specimens of 17G1S steel placed in acid...
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Wenjun Bai, Changqin Quan and Zhiwei Luo
Featured Application: The proposed Uncertainty Flow framework may benefit the facial analysis with its promised elevation in discriminability in multi-label affective classification tasks. Moreover, this framework also allows the efficient model training...
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Cheol-Eung Lee and Sang Ug Kim
Several natural disasters occur because of torrential rainfalls. The change in global climate most likely increases the occurrences of such downpours. Hence, it is necessary to investigate the characteristics of the torrential rainfall events in order to...
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Yongcun Cheng, Tal Ezer, Benjamin D. Hamlington
Pág. 1 - 16
While global mean sea level rise (SLR) and acceleration (SLA) are indicators of climate change and are informative regarding the current state of the climate, assessments of regional and local SLR are essential for policy makers responding to, and prepar...
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Terezinha Aparecida Guedes, Robson Marcelo Rossi, Ana Beatriz Tozzo Martins, Vanderly Janeiro, José Walter Pedroza Carneiro
Pág. 651 - 656
The objective of this analysis was to fit germination data of Rhipsalis cereuscula Haw seeds to the Weibull model with three parameters using Frequentist and Bayesian methods. Five parameterizations were compared using the Bayesian analysis to fit a prio...
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