Bearing Fault Diagnosis Method based on Self-adaptive Stochastic Resonance of Genetic Algorithm and VMD by Zhang Chao, He Yuanyuan

“…The stochastic resonance（ SR） needs to meet the approximative condition when dealing with the measured bearing fault signal,it needs to meet small signal parameters. …”
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Spatial Spread of Tuberculosis through Neighborhoods Segregated by Socioeconomic Position: A Stochastic Automata Model by David Rehkopf, Alice Furumoto-Dawson, Anthony Kiszewski, Tamara Awerbuch-Friedlander

“…Increasing the treatment in neighborhoods of a lower socioeconomic level from 40% to 90% results in an additional decrease of approximately 25% in the number of infected individuals overall. …”
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IMT to Satellite Stochastic Interference Modeling and Coexistence Analysis of Upper 6 GHz-Band Service by Reza Aghazadeh Ayoubi, Dario Tagliaferri, Filippo Morandi, Luca Rinaldi, Laura Resteghini, Christian Mazzucco, Umberto Spagnolini

“…Furthermore, we propose an approximate geometrical-based stochastic model of interference (GSMI) as an alternative method to SMI when the clutter-loss distribution is unavailable. …”
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Spatiotemporal air quality prediction using stochastic advection–diffusion model for multimodal data fusion by Byeongseong Choi, Michelle A Hummel

“…Here, we propose a probabilistic spatiotemporal model, based on the stochastic advection–diffusion (SAD) equation, as a data fusion method to process multimodal air quality data to predict hourly concentrations of fine particulate matter (PM _2.5 ). …”
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A Two-Stage Chance Constrained Approach with Application to Stochastic Intermodal Service Network Design Problems by Yi Zhao, Qingwan Xue, Zhichao Cao, Xi Zhang

“…As a consequence, operational research on intermodal freight transportation has received more attention and developed rapidly, but it is still a young research field. In this paper, a stochastic intermodal service network design problem is introduced in a sea-rail transportation system, which considers stochastic travel time, stochastic transfer time, and stochastic container demand. …”
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A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid by Gaurav Gangil, Amit Saraswat, Sunil Kumar Goyal

“…This paper attempts to develop a multi-time period stochastic optimization model for economic operations of a typical microgrid by employing a scenario-based analysis approach to exploit various uncertainties associated with variable renewable energy (VRE) generations, electricity prices, and load demand. …”
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Fast Fourier Transform Based Power Option Pricing with Stochastic Interest Rate, Volatility, and Jump Intensity by Jiexiang Huang, Wenli Zhu, Xinfeng Ruan

“…Firstly, we present a more general and realistic double-exponential jump model with stochastic volatility, interest rate, and jump intensity. …”
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Improved Estimation of the Initial Number of Susceptible Individuals in the General Stochastic Epidemic Model Using Penalized Likelihood by Changhyuck Oh

“…This short note describes how to improve the maximum likelihood estimators of the infection rate and the initial number of susceptible individuals and provides their approximate Hessian matrix for the general stochastic epidemic model by using the concept of the penalized likelihood function. …”
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Optimizing Distribution Grid Performance through Electric Vehicle Integration and Stochastic Modeling in Extreme Weather Conditions by A. Niknami, M. Askari, M. Amirahmadi, M. Babaeinik

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Hybrid Plant Growth: Integrating Stochastic, Empirical, and Optimization Models with Machine Learning for Controlled Environment Agriculture by Nezha Kharraz, István Szabó

“…This study introduces a novel hybrid plant growth model integrating stochastic, empirical, and optimization approaches, using Internet of Things sensors for real-time data collection. …”
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Existence and Uniqueness of Mild Solutions to Some Neutral Stochastic Partial Functional Integrodifferential Equations with Non-Lipschitz Coefficients by Mamadou Abdoul Diop, Khalil Ezzinbi, Modou Lo

“…The results are obtained by using the method of successive approximation. An example is provided to illustrate the results of this work.…”
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K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles by Jin Sung Kim, Ying Shuai Quan, Chung Choo Chung, Woo Young Choi

“…This paper proposes Koopman operator-based Stochastic Model Predictive Control (K-SMPC) for enhanced lateral control of autonomous vehicles. …”
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Stochastic Bifurcations of a Fractional-Order Vibro-Impact System Driven by Additive and Multiplicative Gaussian White Noises by Yong-Ge Yang, Ya-Hui Sun, Wei Xu

“…Firstly, we can remove the discontinuity of the original system with the help of nonsmooth transformation and obtain the equivalent stochastic system. Then, we adopt the stochastic averaging method to get the approximately analytical solutions. …”
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ROTI‐Based Stochastic Model to Improve GNSS Precise Point Positioning Under Severe Geomagnetic Storm Activity by Xiaomin Luo, Junfeng Du, João Francisco Galera Monico, Chao Xiong, Jingbin Liu, Xinmei Liang

“…At present, common stochastic models in GNSS PPP, such as the elevation angle stochastic (EAS) model or carrier‐to‐noise power‐density ratio (C/N0) based SIGMA‐ε model, do not properly consider storm effects on GNSS measurements. …”
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ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR MODELING OF WATER CONSUMPTION by Alexander N. Salugin, Roman N. Balkushkin

“…Without going into the physical essence of the processes, they can be used to approximate and make reliable predictions, which is a prerequisite for the development of dynamic-stochastic concepts in the management of water resources.…”

Solving Decision-Dependent Games by Learning From Feedback by Killian Wood, Ahmed S. Zamzam, Emiliano Dall'Anese

“…The paper presents guarantees for the approximation of the cost of each agent. Furthermore, a stochastic gradient-based algorithm is developed and analyzed for finding the Nash equilibrium in a distributed fashion. …”
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A Class of Expected Value Bilevel Programming Problems with Random Coefficients Based on Rough Approximation and Its Application to a Production-Inventory System by Liming Yao, Jiuping Xu

“…The expected value operator technique is used to deal with the objective function, and rough approximation is applied to convert the stochastic constraint into a crisp constraint. …”
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Adaptive Fuzzy Fault-Tolerant Output Feedback Tracking Control of Uncertain Stochastic Nonlinear Systems with Unknown Time-Delay and Tracking Error Constrained by Shuai Sui, Shaocheng Tong, Yongming Li

“…The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy adaptive observer is designed for estimating the unmeasured states. …”
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Fault Diagnosis and Fault Tolerant Control for Non-Gaussian Singular Time-Delayed Stochastic Distribution Systems with Disturbance Based on the Rational Square-Root Model by Yuancheng Sun, Zhanhong Liang

“…For the non-Gaussian singular time-delayed stochastic distribution control (SDC) system with unknown external disturbance where the output probability density function (PDF) is approximated by the rational square-root B-spline basis function, a robust fault diagnosis and fault tolerant control algorithm is presented. …”
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The Relationship Between Education Funding and Student Performance in Unity Schools in Nigeria by Elizabeth Hassan, Wim Groot, Louis Volante

“…Using ordinary least squares (OLS) regression and stochastic frontier analysis (SFA), we investigate the relationship between education funding and student performance using a representative sample of secondary schools in Nigeria and analyze school efficiency in utilizing the funding (budget). …”
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