Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays by Dongyan Chen, Yonglong Yu, Long Xu, Xiaohui Liu

“…This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays. Three Bernoulli distributed random variables with known conditional probabilities are introduced to characterize the phenomena of the random two-step sensor delays which may happen during the data transmission. …”
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Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation by F. (. Rouholahnejad, J. Gottschall

“…To address this, we developed random forest models extending near-surface wind speed up to 200 m, focusing on the Dutch part of the North Sea. …”
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An efficient Cucconi based feature extraction with random decision forest classification for improved sentiment analysis by Anuradha K., Mallik Banitamani, Krishna Vamsi M.

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Marcinkiewicz-type strong law of large numbers for double arrays of pairwise independent random variables by Dug Hun Hong, Seok Yoon Hwang

“…Let {Xij} be a double sequence of pairwise independent random variables. If P{|Xmn|≥t}≤P{|X|≥t} for all nonnegative real numbers t and E|X|p(log+|X|)3<∞, for 1<p<2, then we prove that ∑i=1m∑j=1n(Xij−EXij)(mn)1/p→0    a.s.   …”
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A model based on random forest algorithm and Jaya optimization to predict bank customer churn by Sepideh Chehreh, Ali Sarabadani

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Distributed Consensus for Discrete-Time Directed Networks of Multiagents with Time-Delays and Random Communication Links by Yurong Liu, Hamid Reza Karimi, Xiaohui Liu

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On the Expected Discounted Penalty Function for the Classical Risk Model with Potentially Delayed Claims and Random Incomes by Huiming Zhu, Ya Huang, Xiangqun Yang, Jieming Zhou

“…We focus on the expected discounted penalty function of a compound Poisson risk model with random incomes and potentially delayed claims. It is assumed that each main claim will produce a byclaim with a certain probability and the occurrence of the byclaim may be delayed depending on associated main claim amount. …”
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Asymptotic expansion for the distribution function of the series scheme of random variables in the large deviation Cramer zone by Dovilė Deltuvienė

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Hausdorff Dimension of a Random Attractor for Stochastic Boussinesq Equations with Double Multiplicative White Noises by Yin Li, Ruiying Wei, Donghong Cai

“…This paper investigates the existence of random attractor for stochastic Boussinesq equations driven by multiplicative white noises in both the velocity and temperature equations and estimates the Hausdorff dimension of the random attractor.…”
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Estimation of Sound Speed Profiles Using a Random Forest Model with Satellite Surface Observations by Zhenyi Ou, Ke Qu, Chen Liu

“…In this study, an algorithm based on the random forest (RF) integrated learning model, for SSP inversion, was proposed. …”
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ANALYSIS AND EXPERIMENTAL VERIFICATION OF THE EFFECТ OF ASSEMBLY STRESS ON THE RANDOM FATIGUE LIFE OF AIRCRAFT PIPELINE by ZHAO XuSheng, CHEN Guo, ZHANG Xu, QIAN Jin

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On the weak law of large numbers for normed weighted sums of I.I.D. random variables by André Adler, Andrew Rosalsky

Subjects: “…weighted sums of independent and identically distributed random variables…”
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Prediction of COVID-19 Confirmed, Death, and Cured Cases in India Using Random Forest Model by Vishan Kumar Gupta, Avdhesh Gupta, Dinesh Kumar, Anjali Sardana

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RIEFF, David, Contra la memoria, Barcelona, Random House Mondadori, 2012, 117 páginas. by Diego Andrés Escamilla Márquez

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Risk assessment of rail transit systems with variable renewable energy based on uncertain random theory by Yanbo Chen, Xiaoxue Li, Zhi Zhang

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The Case Study of Pseudoexcitation Method Combining Self-Adaptive Gauss Integration in Random Vibration Analysis by Ning Chen, Siyu Zhu, Yongle Li

“…In such case, self-adaptive technology is induced to combine with the PEM to form an efficient method for solving random vibration. During calculation, this method can realize the adaptability of random excitation to actual structural response, identify automatically critical frequency intervals of random excitation, and process intelligently the identified critical frequency intervals and noncritical frequency intervals. …”
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Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA by Gang Chen, Donglin Zhu, Xiao Wang, Changjun Zhou, Xiangyu Chen

“…Therefore, a prediction model based on the BPNN optimized by improved sparrow search algorithm (ISSA) and random forest (RF) is proposed to enhance the generalization ability and prediction accuracy of BPNN for compressive strength of concrete. …”
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Influence of Fluid Viscous Damper on the Dynamic Response of Suspension Bridge under Random Traffic Load by Yue Zhao, Pingming Huang, Guanxu Long, Yangguang Yuan, Yamin Sun

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Skin Cancer Classification Using a Hybrid Pre-trained CNN with Random Forest Classifier by Okky Darmawan Kostidjan, Yudhi Purwanto, Anny Yuniarti

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RESEARCH ON FATIGUE DAMAGE OF ELECTRICAL CONNECTOR JACK SPRINGS UNDER TRIAXIAL RANDOM VIBRATION CONDITIONS by WEN BaoHua, XU FengLin, ZHAO Hua, CAI YangTao, QI JiaLei, PAN Jun

Subjects: “…Triaxial random vibration…”
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