Reliability analysis of wireless communication equipment based on model selection by SUN Jin, HU Jicheng, JIAO Yaqi, WANG Kun

Subjects: “…equipment reliability|model selection|weibull distribution|information criterion|goodness-of-fit test…”
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Alternative Definitions of Complexity for Practical Applications of Model Selection Criteria by Murari Andrea, Riccardo Rossi, Teddy Craciunescu

“…This task is particularly critical for model selection, which is aimed at properly identifying the most adequate equations to interpret the available data. …”
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Data-driven model discovery and model selection for noisy biological systems. by Xiaojun Wu, MeiLu McDermott, Adam L MacLean

“…We propose a data-driven framework for model discovery and model selection using hybrid dynamical systems: partial models containing missing terms. …”
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Application of the ABC Algorithm in Parameter Estimation and Kinetic Model Selection in Propionic Fermentation by Waldecleia Queiroz Da Costa, Miguel Fernando Saraiva Maia, Nilton Pereira Da Silva, Deibson Silva Da Costa, Emerson Cardoso Rodrigues, Diego Cardoso Estumano

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The analysis of the influence of the turbulence model selection on the parameters of interaction of a supersonic jet with an obstacle by R. A. Peshkov, A. S. Shmetkova, O. V. Ispravnikova, Ju. L. Suskina

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Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach by Xiaoqing Dai, Lijun Sun, Yanyan Xu

“…The approach adopts two forecasts as basic models and then uses a probabilistic model selection method, random forest classification, to combine the two outputs to achieve a better forecast. …”
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Bootstrap Order Determination for ARMA Models: A Comparison between Different Model Selection Criteria by Livio Fenga

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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

Subjects: “…Nested Model Selection…”
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Relative Performance of Model Selection Criteria for Cox Proportional Hazards Regression Based on Kullback’s Symmetric Divergence by Clarisse Houénafa Dete, Bruno Enagnon Lokonon, Kossi Essona Gneyou, Marcel Senou, Romain Glèlè Kakaï

“…For this purpose, different model selection criteria can be used under various assumptions. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

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GENETİK ALGORİTMALAR İLE ARIMA MODELLERİNİN BELİRLENMESİ by Serkan Taştan

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Introduction of General Distributions on Sphere and Torus in View of Time Series Spectra by Masanobu Taniguchi, Yujie Xue

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The proper application of logistic regression model in complex survey data: a systematic review by Devjit Dey, Md. Samio Haque, Md. Mojahedul Islam, Umme Iffat Aishi, Sajida Sultana Shammy, Md. Sabbir Ahmed Mayen, Syed Toukir Ahmed Noor, Md. Jamal Uddin

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The mediating effect of air pollution on the association between meteorological factors and influenza-like illness in China by Qinling Yan, Robert A. Cheke, Sanyi Tang

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Complexity: Frontiers in Data-Driven Methods for Understanding, Prediction, and Control of Complex Systems 2022 on the Development of Information Theoretic Model Selection Criteria for the Analysis of Experimental Data by Andrea Murari, Michele Lungaroni, Riccardo Rossi, Luca Spolladore, Michela Gelfusa

“…Quite sophisticated model selection criteria are available but their deployment in practice can be problematic. …”
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Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

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Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism by Tom Burr, Michael S. Hamada, John Howell, Misha Skurikhin, Larry Ticknor, Brian Weaver

“…This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals. …”
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Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

“…The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques. …”
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Research on asynchronous robust federated learning method in vehicle computing power network by YIN Hongbo, WANG Shuai, ZHANG Ke, ZHANG Yin

“…To address the above issues, an asynchronous robust federated learning method was proposed, which achieves vehicle data privacy protection while improving the efficiency of model collaborative training through asynchronous execution of federated learning processes between vehicles. Secondly, a model selection method was designed, and potential malicious model detection and vehicle reputation evaluation methods are proposed to further enhance the robustness of the system. …”
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Application and Comparative Study of Large Language Model in Early Prediction of Glaucoma by Xu Manyi

“…In addition, the performance of different models on specific data sets is different, suggesting that model selection should be optimized according to actual application scenarios and data characteristics. …”
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