Parameterless-Growing-SOM and Its Application to a Voice Instruction Learning System by Takashi Kuremoto, Takahito Komoto, Kunikazu Kobayashi, Masanao Obayashi

“…User's instructions of voices are classified by the PL-G-SOM at first, then robots choose an expected action according to a stochastic policy. The policy is adjusted by the reward/punishment given by the user of the robot. …”
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Optimal Scheduling of Multi-Energy Complementary Systems Based on an Improved Pelican Algorithm by Hongbo Zou, Jiehao Chen, Fushuan Wen, Yuhong Luo, Jinlong Yang, Changhua Yang

“…The secure, reliable, and economical operation of power systems is a critical challenge. Due to the stochastic nature of intermittent renewable energy generation and the coupled time-series characteristics of energy storage systems, it is essential to simulate uncertain variables accurately and develop optimization algorithms that can effectively tackle multi-objective problems in economic dispatch models for microgrids. …”
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Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion by Yanyan Hu, Shuai Qi, Xiaoling Xue, Kaixiang Peng

“…Firstly, a state-space type model is established by modeling the stochastic degradation as a Wiener process and transforming asynchronous indirectly observations in the fusion period to the fusion time. …”
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A Grey NGM(1,1,k) Self-Memory Coupling Prediction Model for Energy Consumption Prediction by Xiaojun Guo, Sifeng Liu, Lifeng Wu, Lingling Tang

“…Its excellent prediction performance lies in that the proposed coupling model can take full advantage of the systematic multitime historical data and catch the stochastic fluctuation tendency. This work also makes a significant contribution to the enrichment of grey prediction theory and the extension of its application span.…”
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Properties and Applications of Neutrosophic Burr XII Distribution by Laila A. Al-Essa, Farrukh Jamal, Shakaiba Shafiq, Sadaf Khan, Qamer Abbas, Rehan Ahmad Khan Sherwani, Muhammad Aslam

“…The primary objective is to study the statistical properties of the proposed model by providing explicit expressions of reliability properties, the expression of moments and generating function, expression of order statistics, mean residual life, mean inactivity time, stochastic ordering, income inequality measures, and entropy in neutrosophic realm. …”
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Immersion in Complex Dynamical Systems with Ergodicity by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales

“…By scrutinizing topological entropy and its implications in dynamical systems, this research offers novel insights into the chaotic and stochastic behaviors exhibited by these systems. Additionally, the introduction of pioneering theories like ETTF opens up new avenues for understanding and modeling turbulent phenomena, thereby enriching our understanding of complex dynamical processes. …”
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A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…The proposed game model consists of two interrelated formulations: a stochastic game for dynamic defense and a best response policy using evolutionary game formulation for coordinator selection. …”
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Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

“…Furthermore, low-frequency and high-frequency components of the data are comprehensively extracted using dual-tree complex wavelet packet transform (DTCWPT), and high-dimensional features are downscaled using t-distributed stochastic neighbor embedding (t-SNE) to obtain low-dimensional sensitive fault features. …”
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Minimizing Delay and Power Consumption at the Edge by Erol Gelenbe

“…These results are obtained with a mathematical model of a multiple-server edge system that is managed by a task distribution platform, whose equations are derived and solved using methods from stochastic processes. This approach has low computational cost and provides simple linear complexity formulas to compute the fraction of tasks that should be assigned to the different servers to achieve minimum latency and minimum energy consumption.…”
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Event-Triggered Asynchronous Dissipative Control for Markov Jump Systems With Unknown Probabilities by Huiying Chen, Mingshuai Jiang, Renwei Liu, Zuxin Li, Yanfeng Wang

“…Then, Lyapunov functions are constructed to obtain sufficient conditions for the stochastic stability and dissipative performance of the closed-loop system. …”
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The Reciprocal Influence Criterion: An Upgrade of the Information Quality Ratio by Riccardo Rossi, Michela Gelfusa, Filippo De Masi, Matteo Ossidi, Andrea Murari

“…Given their limitations, a new criterion is proposed, the reciprocal influence criterion, which is very simple conceptually and does not make any assumption about the statistics of the stochastic variables involved. In addition to being normalised as the information quality ratio, it provides a much better resilience to noise and much higher stability to the issues related to the determination of the involved probability distribution functions. …”
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Vibration Analysis of Driving-Point System with Uncertainties Using Polynomial Chaos Expansion by Bin Xiao, Yu-long Zhou, Chao Gao, Shuang-Xia Shi, Ze-Xi Sun, Zong-biao Song

“…A vibration transfer analysis method based on polynomial chaos expansion (PCE) is proposed in this study and is used to analyze the stochastic dynamic compliance of uncertain systems with the Gaussian distribution. …”
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The Use of Statistical Tests to Calibrate the Black-Scholes Asset Dynamics Model Applied to Pricing Options with Uncertain Volatility by Lorella Fatone, Francesca Mariani, Maria Cristina Recchioni, Francesco Zirilli

“…The method proposed here for calibrating the Black-Scholes dynamics model could be extended to other science and engineering models that may be expressed in terms of stochastic dynamical systems.…”
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Route Guidance Model with Limited Overlap on Freeway Network under Traffic Incidents by Xuan Zhang, Jinjun Tang, Chengcheng Wang, Chao Wang

“…Then, we promptly update the route guidance information using a stochastic dynamic traffic assignment model that aligns with travelers’ path choice psychology. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…Random forest (RF), stochastic gradient boosting (SGB), and XGBoost algorithms were used. …”
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Randomized and Efficient Time Synchronization in Dynamic Wireless Sensor Networks: A Gossip-Consensus-Based Approach by Nan Xiong, Minrui Fei, Taicheng Yang, Yu-Chu Tian

“…First, the unreliable links are described by stochastic connections, reflecting the characteristic of changing connectivity gleaned from dynamic WSNs. …”
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Macroscopic Fundamental Diagram Based Discrete Transportation Network Design by Guojing Hu, Weike Lu, Feng Wang, Robert W. Whalin

“…Finally, the methodology is implemented in a test network, and the results show the benefits of using the MFD-based method to solve the network design problem under stochastic OD demands. Specifically, the capacity paradox is also presented in the test results.…”
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Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator by Mohamed H. Hassan, Salah Kamel, José Luis Domínguez‐García, Reagan Jean Jacques Molu

“…The method takes into account uncertainty of the renewable energy sources (wind energy and photovoltaic systems) and Vehicle‐to‐Grid (V2G) in the stochastic OPF problem. To improve the efficiency of the proposed technique and enhance its local exploitation capability, the LEO method's selection features are utilized. …”
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Specificity and tunability of efflux pumps: A new role for the proton gradient? by Matthew Gerry, Duncan Kirby, Boian S Alexandrov, Dvira Segal, Anton Zilman

“…We developed a set of mathematical models describing operation of efflux pumps as a discrete cyclic stochastic process across a network of states characterizing pump conformations and the presence/absence of bound ligands and protons. …”
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Effect of high-quality nursing interventions on the quality of life and cardiac index in acute coronary syndrome patients treated with drug-eluting stents: a randomized trial study by Zeinab Abdollahifar, Mahdi Karimyar Jahromi, Khatereh Dehghani, Mohammad Ali Montaseri

“…Methods In this randomized trial, 70 patients of the cardiac intensive care units in one of Jahrom university of medical sciences hospitals (Iran) were selected from July 2023 to October 2023 by the available method, and randomly allocated (stochastic assignment) to two intervention (High-Quality Nursing Interventions) and control groups (routine nursing care). …”
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