ANALYSIS SCHEME FOR MULTI-FAULTS VIBRATION OF GEARBOX BASED ON DISCRETE RANDOM SEPARATION by HE DongTai, GUO Yu, WU Xing, LIU ZhiQi, ZHAO Lei

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Topology Optimization of Constrained Layer Damping Structures Subjected to Stationary Random Excitation by Zhanpeng Fang, Junjian Hou, Hongfei Zhai

“…This paper deals with an optimal layout design of the constrained layer damping (CLD) treatment of vibrating structures subjected to stationary random excitation. The root mean square (RMS) of random response is defined as the objective function as it can be used to represent the vibration level in practice. …”
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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
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On Chung-Teicher type strong law for arrays of vector-valued random variables by Anna Kuczmaszewska

“…We study the equivalence between the weak and strong laws of large numbers for arrays of row-wise independent random elements with values in a Banach space ℬ. The conditions under which this equivalence holds are of the Chung or Chung-Teicher types. …”
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Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. by Fernando A Najman, Antonio Galves, Marcela Svarc, Claudia D Vargas

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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

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GAN-based pseudo random number generation optimized through genetic algorithms by Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui

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Stochastic step-wise feature selection for Exponential Random Graph Models (ERGMs). by Helal El-Zaatari, Fei Yu, Michael R Kosorok

“…This study introduces a novel methodology for endogenous variable selection in Exponential Random Graph Models (ERGMs) to enhance the analysis of social networks across various scientific disciplines. …”
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Deep and robust resource allocation for random access network based with imperfect CSI by Weihua WU, Guanhua CHAI, Qinghai YANG, Runzi LIU

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Random Emission and Control of Whispering Gallery Mode Using Flexible Optical Fiber by Bingyang Cao, Zhen He, Weili Zhang

Subjects: “…random laser…”
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Strong laws of large numbers for arrays of row-wise exchangeable random elements by Robert Lee Taylor, Ronald Frank Patterson

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On the Stability of Cubic and Quadratic Mapping in Random Normed Spaces under Arbitrary T-Norms by J. Vahidi, S. J. Lee, F. Fallah, R. Ahmadi

“…We prove the stability of some functional equations in the random normed spaces under arbitrary t-norms.…”
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Superconducting Nanostrip Photon-Number-Resolving Detector as an Unbiased Random Number Generator by Pasquale Ercolano, Mikkel Ejrnaes, Ciro Bruscino, Syed Muhammad Junaid Bukhari, Daniela Salvoni, Chengjun Zhang, Jia Huang, Hao Li, Lixing You, Loredana Parlato, Giovanni Piero Pepe

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Random-Parameters Behavioral Models to Investigate Determinants of Perceived Safety in Railway Stations by Pierluigi Coppola, Luigi dell’Olio, Fulvio Silvestri

“…The methodological approach includes focus groups, stated preference (SP) surveys, and the estimation of behavioral models with fixed parameters (Binomial Logit) and random parameters (Mixed Logit). The estimation results for a medium-sized railway station (Frosinone, Italy) confirmed that safety and security measures are not equally perceived by individuals and the use of random-parameters models leads to more robust estimates. …”
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RW-MC:self-adaptive random walk based matrix completion algorithm by Xin-heng WANG, Qian-yun WANG, Jia-jie WANG, Guo-feng ZHAO, Wen-qiang JIN

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Modulation of first-passage time for bursty gene expression via random signals by Qiuying Li, Lifang Huang, Jianshe Yu

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Fixed-effect versus random-effect model in meta-analysis: How to decide? by Souvik Maitra

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Some results on convergence rates for probabilities of moderate deviations for sums of random variables by Deli Li, Xiangchen Wang, M. Bhaskara Rao

“…Let X, Xn, n≥1 be a sequence of iid real random variables, and Sn=∑k=1nXk, n≥1. Convergence rates of moderate deviations are derived, i.e., the rate of convergence to zero of certain tail probabilities of the partial sums are determined. …”
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User Random Access Technology Based on Beam Hopping Satellite Communication System by Zixuan HUANG, Jiaxi ZHOU, Jing ZHANG, Zhengyu ZHANG

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A hybrid model for traffic flow and crowd dynamics with random individual properties by Veronika Schleper

Subjects: “…random initial data.…”
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