Probabilistic assessment of passive earth pressures considering spatial variability of soil parameters and design factors by Jim Shiau, Tan Nguyen, Thinh Pham-Tran-Hung, Jun Sugawara

Subjects: “…Random field…”
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Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters by Long Yu, Yang Bao, Kunming Ma, Yunrui Han, Yibin Yan, Bin Xu, Zhongtao Wang, Rui Pang

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Algorithm of video object segmentation based on region Gibbs potential function by BAO Hong-qiang, ZHANG Zhao-yang

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Image forgery detection algorithm based on U-shaped detection network by Zhuzhu WANG

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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

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Voronoi tessellation and hierarchical model based texture image segmentation by Quan-hua ZHAO, Yu LI, Xiao-jun HE, Wei-dong SONG

Subjects: “…bivariate Gaussian Markov random field (BGMRF)…”
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Updating Soil Spatial Variability and Reducing Uncertainty in Soil Excavations by Kriging and Ensemble Kalman Filter by Yajun Li, Kang Liu

“…., soil deformation and/or strength parameters, where conditional simulation via constrained random fields can be used to improve the estimation of the spatial distribution of parameters. …”
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Stochastic Inversion Method for Concrete Dams on the Basis of Bayesian Back Analysis Theory by Chongshi Gu, Xin Cao, Bo Xu

“…Fast Fourier transform algorithm is introduced to generate random fields for SFEM analysis. The case study shows that the proposed inversion method can reflect the random characteristics of concrete dams, the mechanical parameters obtained are reasonable, and the inverse model is feasible.…”
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Wrapping and unwrapping multifractal fields: Application to fatigue and abrupt failure fracture surfaces by Samy Lakhal, Laurent Ponson, Michael Benzaquen, Jean-Philippe Bouchaud

“…We develop a spectral procedure to generate multifractal random fields in any dimensions d, parameterized by their roughness exponent H, intermittency exponent λ, and multifractal range ξ. …”
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A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records by Qiuli Qin, Shuang Zhao, Chunmei Liu

“…The BERT layer first converts the electronic medical record text into a low-dimensional vector, then uses this vector as the input to the BiGRU layer to capture contextual features, and finally uses conditional random fields (CRFs) to capture the dependency between adjacent tags. …”
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A New Type of Eye Movement Model Based on Recurrent Neural Networks for Simulating the Gaze Behavior of Human Reading by Xiaoming Wang, Xinbo Zhao, Jinchang Ren

“…In contrast to conventional psychology-based eye movement models, ours is based on a recurrent neural network (RNN) to generate a gaze point prediction sequence, by using the combination of convolutional neural networks (CNN), bidirectional long short-term memory networks (LSTM), and conditional random fields (CRF). The model uses the eye movement data of a reader reading some texts as training data to predict the eye movements of the same reader reading a previously unseen text. …”
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Academic Activities Transaction Extraction Based on Deep Belief Network by Xiangqian Wang, Fang Huang, Wencong Wan, Chengyuan Zhang

“…In this paper, the accuracy of the academic activities extraction is compared by using character-based feature vector and word-based feature vector to express the text features, respectively, and with the traditional text information extraction based on Conditional Random Fields. The results show that DBN model is more effective for the extraction of academic activities transaction information.…”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…A clinical study was performed on a database of 10 adult brain MRI volumes to compare the level set segmentation to three other methods: “idealized” intensity thresholding, fuzzy connectedness, and an expectation maximization classification using hidden Markov random fields. Quantitative evaluation of segmentation accuracy was performed with comparison to manual segmentation computing true positive and false positive volume fractions. …”
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Self-adaptive fuzzing optimization method based on distribution divergence by XU Hang, JI Jiangan, MA Zheyu, ZHANG Chao

“…An interprocedural comparison flow graph was first constructed based on the interprocedural control flow graph to characterize the spatial random field corresponding to the branch condition variables of the program under test, and the distribution features of the random field generated by a fuzzing mutation strategy were extracted using the Monte Carlo method. …”
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Ways to improve the accuracy of the harmonic method for simulating two-dimensional signals by V.V. Syuzev, A.V. Proletarsky, D.A. Mikov, I.I. Deykin

“…A review of the literature on the existing methods for modeling multidimensional random fields is carried out, making it possible to compare these methods using criteria such as the complexity of the algorithm, computational costs and memory requirements, requirements for the covariance function and the grid. …”
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Chinese Mathematical Knowledge Entity Recognition Based on Linguistically Motivated Bidirectional Encoder Representation from Transformers by Wei Song, He Zheng, Shuaiqi Ma, Mingze Zhang, Wei Guo, Keqing Ning

“…In order to improve the accuracy of mathematical knowledge entity recognition and provide effective support for subsequent functionalities, this paper adopts the latest pre-trained language model, LERT, combined with a Bidirectional Gated Recurrent Unit (BiGRU), Iterated Dilated Convolutional Neural Networks (IDCNNs), and Conditional Random Fields (CRFs), to construct the LERT-BiGRU-IDCNN-CRF model. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

“…Ultimately, the range of the optimal load level and its confidence interval are determined via statistical analysis of the load estimations under different random fields. The validation results of RC beams under four-point bending loads show that the proposed algorithm can quickly estimate load levels based on numerical simulation results, and the mean absolute percentage error (MAPE) for load estimation based solely on a single measured structural crack image is 20.68%.…”
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Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties by Mikhail Tashkinov, Yulia Pirogova, Evgeniy Kononov, Aleksandr Shalimov, Vadim V. Silberschmidt

“…The neural network was trained on two datasets, containing models created based on Gaussian random fields. Statistical fluctuations of the mechanical and morphological parameters of the reconstructed models are analyzed. …”
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CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay by Mi Tian, Xiaotao Sheng

“…Applying random field theory involves two important issues: the statistical homogeneity (or stationarity) and determination of random field parameters and correlation function. …”
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Adaptive Self-Occlusion Behavior Recognition Based on pLSA by Hong-bin Tu, Li-min Xia, Lun-zheng Tan

“…Firstly, the Markov random field was used to represent the occlusion relationship between human body parts in terms an occlusion state variable by phase space obtained. …”
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