WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

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Predicting autoimmune thyroiditis in primary Sjogren’s syndrome patients using a random forest classifier: a retrospective study by Jia-yun Wu, Jing-yu Zhang, Wen-qi Xia, Yue-ning Kang, Ru-yi Liao, Yu-ling Chen, Xiao-min Li, Ya Wen, Fan-xuan Meng, Li-ling Xu, Sheng-hui Wen, Hui-fen Liu, Yuan-qing Li, Jie-ruo Gu, Qing Lv, Yong Ren

“…Results The results indicated that the Random Forest Classifier algorithm (AUC = 0.755) outperformed the other three machine learning algorithms. …”
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Influencing Factors of Social Anxiety of Undergraduate Nursing Students Based on Random Forest Model: A Cross‐Sectional Study by Yuling Jia, Yuexue Yue

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3D crack identification using the Nelder-Mead Simplex algorithm combined with a random generation of crack positions by Nasreddine Amoura, Hocine Kebir, Abdelouahab Benzerdjeb

“…Numerical simulations are conducted to determine the identity parameters of an embedded elliptical crack, with measures randomly perturbed and the residual norm regularized in order to provide an efficient and numerically stable solution to measurement noise. …”
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A Urine Metabonomics Study of Rat Bladder Cancer by Combining Gas Chromatography-Mass Spectrometry with Random Forest Algorithm by Mengchan Fang, Fan Liu, Lingling Huang, Liqing Wu, Lan Guo, Yiqun Wan

“…., healthy control vs. early- and middle-stage groups, healthy control vs. advanced-stage group, and early- and middle-stage groups vs. advanced-stage group, were established to analyze these experimental data by using Random Forests (RF) algorithm, respectively. The classification results showed that combining random forest algorithm with metabolites characters, the differences caused by the progress of disease could be effectively exhibited. …”
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A Simulation-Based Study for Progressive Estimation of Population Mean through Traditional and Nontraditional Measures in Stratified Random Sampling by Maria Javed, Muhammad Irfan, Sajjad Haider Bhatti, Ronald Onyango

“…This study suggests a new optimal family of exponential-type estimators for estimating population mean in stratified random sampling. These estimators are based on the traditional and nontraditional measures of auxiliary information. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

Subjects: “…Random Forest Regression…”
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Exploring Factors Influencing Crash Occurrence Involving Autonomous Vehicle: Random Parameters Model With Heterogeneity in Means and Variances Approach by Haocheng Li, Amjad Pervez, Jaeyoung Jay Lee

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The modeling of earnings per share of Polish companies for the post-financial crisis period using random walk and ARIMA models by Wojciech Kuryłek

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Stability prediction of circular sliding failure soil slopes based on a genetic algorithm optimization of random forest algorithm by Shengming Hu, Yongfei Lu, Xuanchi Liu, Cheng Huang, Zhou Wang, Lei Huang, Weihang Zhang, Xiaoyang Li

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Short communication: The importance of random effects in detecting purging of inbreeding depression: A model comparison in Pannon White rabbits by I. Nagy, I. Curik, A.T. Nguyen, J. Farkas, Gy. Kövér

“…The aim of this study was to compare the predictive power of two commonly used approaches in models with and without random dam effects to detect purging (full and reduced models). …”
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On the Study of Transience and Recurrence of the Markov Chain Defined by Directed Weighted Circuits Associated with a Random Walk in Fixed Environment by Chrysoula Ganatsiou

“…By using the cycle representation theory of Markov processes, we investigate proper criterions regarding transience and recurrence of the corresponding Markov chain represented uniquely by directed cycles (especially by directed circuits) and weights of a random walk with jumps in a fixed environment.…”
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Adaptive Kalman Estimation in Target Tracking Mixed with Random One-Step Delays, Stochastic-Bias Measurements, and Missing Measurements by Sujuan Chen, Yinya Li, Guoqing Qi, Andong Sheng

“…Three Bernoulli distributed random variables are employed to describe the uncertainties. …”
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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

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Diverse Exact Soliton Solutions of the Time Fractional Clannish Random Walker’s Parabolic Equation via Dual Novel Techniques by Imran Siddique, Khush Bukht Mehdi, M. Ali Akbar, Hamiden Abd El-Wahed Khalifa, Asim Zafar

“…In this article, we acquire a variety of new exact traveling wave solutions in the form of trigonometric, hyperbolic, and rational functions for the nonlinear time-fractional Clannish Random Walker’s Parabolic (CRWP) equation in the sense of beta-derivative by employing the two modified methods, namely, modified G′/G2− expansion method and modified F− expansion method. …”
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Diploid aposporous sunflower forms triploid BIII progeny displaying increased apospory levels and non-random genetic mutations by Silvina Pessino, Graciela Nestares, Marta B. Bianchi, Iara Katzaroff, Lucía Amato, Marika Bocchini, Gianpiero Marconi, Emidio Albertini, Ana C. Ochogavía

“…Furthermore, specific non-random genetic and DNA methylation changes were detected in the F2 triploids compared to F2 diploids and parental plants, highlighting recurrent (epi)genetic alterations occurring during triploidization. …”
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A Large-Scale Snow Depth Retrieval Method for Alaska Based on Point-Surface Fusion and Random Forest Model by Ningjun Wang, Tiantian Liu

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Modeling Injury Severity for Nighttime and Daytime Crashes by Using Random Parameter Logit Models Accounting for Heterogeneity in Means and Variances by Chenzhu Wang, Ping Zhang, Fei Chen, Jianchuan Cheng

“…This study examines the influences of risk factors on crash severity, based on comparisons of nighttime and daytime crashes. By using a random parameter approach to account for unobserved heterogeneity, multivariate logit (RPML) models are proposed to analyze the crash severity based on the explanatory factors in terms of the crash, traffic, speed, road geometry, and sight characteristics. …”
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H1-Random Attractors and Asymptotic Smoothing Effect of Solutions for Stochastic Boussinesq Equations with Fluctuating Dynamical Boundary Conditions by Yijin Zhang

“…Using a method based on the theory of omega-limit compactness of a random dynamical system, we prove that the L2-random attractor for the generated random dynamical system is exactly the H1-random attractor. …”
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Random Vibration Analysis of Train Moving over Slab Track on Bridge under Track Irregularities and Earthquakes by Pseudoexcitation Method by Zhiping Zeng, Kunteng Zhu, Xianfeng He, Wentao Xu, Lingkun Chen, Ping Lou

“…This paper investigates the random vibration and the dynamic reliability of operation stability of train moving over slab track on bridge under track irregularities and earthquakes by the pseudoexcitation method (PEM). …”
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