Results 1 to 10 of about 15,548,897 (203)

Random field optimization [PDF]

open access: yesComputers & Chemical Engineering, 2022
We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of random variables that live on infinite-dimensional spaces (e.g., space and time) such as stochastic processes (e.g., time series, Gaussian processes, and Markov processes ...
Joshua L. Pulsipher   +2 more
openaire   +3 more sources

Prediction and classification for finite element slope stability analysis by random field comparison

open access: yesComputers and Geotechnics, 2019
This paper considers probabilistic slope stability analysis using the Random Finite Element Method (RFEM) combined with processes to determine the level of similarity between random fields.
Ashley P Dyson, Ali Tolooiyan
exaly   +2 more sources

Random fields and random sampling [PDF]

open access: yesKybernetika, 2020
The authors study the limit in distribution of the maximum of a stationary bivariate real random field, sampled at double random times under some dependence conditions. It is shown that the limit distribution is a max-semistable distribution when the random samples have a geometric growth pattern. When the random field is sampled at double random times,
Sandra Dias, Maria da Graça Temido
openaire   +1 more source

Random field-based tunneling information modeling framework for probabilistic safety assessment of shield tunnels

open access: yesJournal of Civil Engineering and Management, 2023
Probabilistic analysis based on random field (RF) has been widely adopted in the safety assessment of shield tunnels. However, its practical applicability has been limited by the intricacy involved with integrating geotechnical data and tunneling ...
Ping Xie, Hanbin Luo, Ke Chen, Zhao Yang
doaj   +1 more source

Numerical Modeling of 3D Slopes with Weak Zones by Random Field and Finite Elements

open access: yesApplied Sciences, 2021
This work investigates an analysis method for the stability of a three-dimensional (3D) slope with weak zones considering spatial variability on the basis of two-phase random media and the finite element method.
Yu-Xiang Xia   +3 more
doaj   +1 more source

Probabilistic Risk Assessment of Soil Slope Stability Subjected to Water Drawdown by Finite Element Limit Analysis

open access: yesApplied Sciences, 2022
This study investigates the probabilistic stability of embankment slopes subjected to water level drawdown using the random field finite element method (RFEM) with strength reduction technology.
Xiaobing Wang   +4 more
doaj   +1 more source

Effects of the number of simulation iterations and meshing accuracy in monte-carlo random finite-difference analysis

open access: yesFrontiers in Earth Science, 2023
Monte-Carlo random finite-difference analysis (MCRFDA) can incorporate the spatial variability of soil properties into the analysis of geotechnical structures.
Huaichang Yu   +6 more
doaj   +1 more source

A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis [PDF]

open access: yesArchives of Computational Methods in Engineering, 2020
Pathology image analysis is an essential procedure for clinical diagnosis of numerous diseases. To boost the accuracy and objectivity of the diagnosis, nowadays, an increasing number of intelligent systems are proposed.
Yixin Li   +9 more
semanticscholar   +1 more source

Behavior of Shallow Circular Tunnels—Impact of the Soil Spatial Variability

open access: yesGeosciences, 2022
Spatial variability is unavoidable for soils and it is important to consider such a feature in the design of geotechnical engineering as it may lead to some structure behaviors which cannot be predicted by a calculation assuming homogenous soils.
Adam Hamrouni   +2 more
doaj   +1 more source

BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model [PDF]

open access: yesProceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation, 2019
We show that BERT (Devlin et al., 2018) is a Markov random field language model. This formulation gives way to a natural procedure to sample sentences from BERT.
Alex Wang, Kyunghyun Cho
semanticscholar   +1 more source

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