Multifluid Mixture Models for the Binary Mixtures of Trifluoroethene (R-1123) with Difluoromethane (R-32), 2,3,3,3-Tetrafluoroprop-1-ene (R-1234yf), and Propane (R-290) by Ryo Akasaka, Sho Fukuda, Yukihiro Higashi

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TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

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Damage Evolution Characteristics of Steel-Fiber-Reinforced Cellular Concrete Based on Acoustic Emission by Hu Huang, Feihao Chen, Kelei Cao, Xiancai Zhang, Ruihang Li

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Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration by Adrian Prados, Gonzalo Espinoza, Luis Moreno, Ramon Barber

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Unveiling Risk Profiles: A Latent Profile Analysis of 21st‐Century Skills, Resistance to Change, and Cognitive Flexibility by Muhammed Celal Uras, Suat Kaya, Alican Kaya, Murat Yildirim

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Peirce's i and Cohen's κ for 2×2 Measures of Rater Reliability by Beau Abar, Eric Loken

“…This study examined a historical mixture model approach to the evaluation of ratings made in “gold standard” and two-rater 2×2 contingency tables. …”
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Using Statistical Model to Study the Daily Closing Price Index in the Kingdom of Saudi Arabia (KSA) by Hassan M. Aljohani, Azhari A. Elhag

“…The article aims to use the Gaussian Mixture Model to model the daily closing price index over the period of 1/1/2013 to 16/8/2020 in the Kingdom of Saudi Arabia. …”
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Optimization of hydrocyclon for phosphatic rock separation using CFD by Felipe Orlando da Costa, Felipe Leonardo Barcelos Mateus, Irineu Petri Júnior

“…In order to compare the multiphase models, the individual and overall efficiency were used along with the experimental results. The Mixture model had the smallest relative error and was used for the subsequent simulations. …”
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Mixture of Lindley and Lognormal Distributions: Properties, Estimation, and Application by A. S. Al-Moisheer

“…Finite mixture models provide a flexible tool for handling heterogeneous data. …”
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Bayesian Nonparametric Modeling for Rapid Design of Metamaterial Microstructures by Bin Liu, Chunlin Ji

“…A Bayesian nonparametric model, namely, Gaussian Process (GP) mixture, is developed to generate the mapping relationship from the microstructure’s geometric dimension to the electromagnetic response, which is approximately expressed in a closed form of Drude-Lorentz type model. This GP mixture model is neatly able to tackle nonstationarity, discontinuities in the mapping function. …”
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CFD Analysis of the Effect of Elbow Radius on Pressure Drop in Multiphase Flow by Quamrul H. Mazumder

“…CFD analysis was performed using the mixture model and a commercial code, FLUENT. The comparison of CFD predictions with experimental data and empirical model outputs showed good agreement.…”
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Power Consumption Based Android Malware Detection by Hongyu Yang, Ruiwen Tang

“…Firstly, the mobile battery consumption status information was obtained, and the Gaussian mixture model (GMM) was built by using Mel frequency cepstral coefficients (MFCC). …”
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Distributed Bayesian Inference for Consistent Labeling of Tracked Objects in Nonoverlapping Camera Networks by Jiuqing Wan, Li Liu

“…To cope with the problem of missing detection, we consider an enlarged neighborhood of each camera during inference and use a mixture model to describe the higher order spatiotemporal constraints. …”
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Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity. by Andrew J Grant, Dipender Gill, Paul D W Kirk, Stephen Burgess

“…The method is based on a mixture model approach for directional clustering and includes a noise cluster that provides robustness to outliers. …”
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Polariton lattices as binarized neuromorphic networks by Evgeny Sedov, Alexey Kavokin

“…In voice recognition, the system achieved a classification accuracy of about 68% for the ten-class subset, surpassing the performance of conventional benchmark, the Hidden Markov Model with Gaussian Mixture Model.…”
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Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines by Pingan Peng, Zhengxiang He, Liguan Wang

“…Therefore, here we present a new method for automatic classification of microseismic signals based on the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) by using only Mel-frequency cepstral coefficient (MFCC) features extracted from the waveform. …”
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Acoustic Model with Multiple Lexicon Types for Indonesian Speech Recognition by Taufik Fuadi Abidin, Alim Misbullah, Ridha Ferdhiana, Laina Farsiah, Muammar Zikri Aksana, Hammam Riza

“…The time delay neural network (TDNN) was used to build the acoustic model by applying the alignment data from the Gaussian mixture model-hidden Markov model (GMM-HMM). Data augmentation was used to increase the number of validated datasets and enhance the performance of the acoustic model. …”
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Introducing Autonomous Shuttle Services Based on Travel Patterns for the Elderly by Eunbi Kang, Sunmin Park, Younghoon Seo, Hyungjoo Kim

“…We derived four clusters via the Gaussian mixture model clustering, with travel purposes classified according to the spatiotemporal travel patterns. …”
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Automatic Segmentation of High Speed Video Images of Vocal Folds by Turgay Koç, Tolga Çiloğlu

“…Reflectance images of the masked HSV are used to form a vertical slice image whose reflectance distribution is modeled by a Gaussian mixture model (GMM). Finally, estimated GMM is used to isolate the glottis from the background. …”
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Study of the Pressure Drop and Flow Field in Standard Gas Cyclone Models Using the Granular Model by Nabil Kharoua, Lyes Khezzar, Zoubir Nemouchi

“…Using the granular mixture model for the cases of particle-laden flow, discrepancies occurred at relatively high loadings (up to 0.5 kg/m3). …”
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