Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…The advancement of hybrid deterioration models, such as integrating artificial intelligence (AI) with stochastic and physics-based approaches, has proven to be a powerful strategy, combining the strengths of each method to deliver enhanced condition predictions. …”
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Environment-assisted quantum transport of excitons in perovskite nanocrystal superlattices by Daria D. Blach, Victoria A. Lumsargis-Roth, Chern Chuang, Daniel E. Clark, Shibin Deng, Olivia F. Williams, Christina W. Li, Jianshu Cao, Libai Huang

“…Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.…”
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A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes by Zulfiqar Ali, Ijaz Hussain, Muhammad Faisal, Ibrahim M. Almanjahie, Muhammad Ismail, Maqsood Ahmad, Ishfaq Ahmad

“…Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Results have shown that Stochastic Gradient Descent (function), Logistic Regression (function), JRip (rules) and Random Forests (trees) are among the top performing classifiers. …”
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Predicting and Visualizing the Uncertainty Propagations in Traffic Assignments Model Using Monte Carlo Simulation Method by Mundher Seger, Lajos Kisgyörgy

“…The values of OD matrix were considered as stochastic variables following a specific probability distribution. …”
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Local polar order controls mechanical stress and triggers layer formation in Myxococcus xanthus colonies by Endao Han, Chenyi Fei, Ricard Alert, Katherine Copenhagen, Matthias D. Koch, Ned S. Wingreen, Joshua W. Shaevitz

“…By measuring cell orientation, velocity, polarity, and force with cell-scale resolution, we reveal a stochastic local polar order in addition to the more obvious nematic order. …”
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Federated Learning in Data Privacy and Security by Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S. P. Raja

“…This paper focuses on algorithms such as, federated averaging algorithm, differential privacy, federated stochastic variance and reduced gradient (FSVRG). To achieve data privacy and security, this research paper presents the main data statistics with the help of graphs, visual images and design models. …”
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Dynamic Response of an End-Supported Pontoon Bridge due to Wave Excitation: Numerical Predictions versus Measurements by Knut Andreas Kvåle, Ole Øiseth

“…The results obtained from the hydrodynamic analysis are combined with a beam model of the bridge in a finite element method (FEM) framework to enable stochastic response prediction through the power spectral density method. …”
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Secrecy Cognitive Gain of Cognitive Radio Sensor Networks with Primary Outage Constraint by Hongyu Ma, Kai Niu, Weiling Wu, Shengyu Li, Guangqian Chu

“…This paper studies the physical layer security issue for cognitive radio sensor networks (CRSNs) with primary outage constraint, for which a tractable framework is developed to analyze the secrecy performance for CRSNs related to the random channel characteristics, the spatial distributions of nodes, the nearest neighbour routing protocol, and the aggregate interference. Based on stochastic geometry technique, a novel random analysis method is proposed to derive the closed-form expression of secrecy transmission capacity and analyze the connection outage probability (COP) and secrecy outage probability (SOP) for both secondary (SR) and primary (PR) systems. …”
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Network Firewall Dynamics and the Subsaturation Stabilization of HIV by Bilal Khan, Kirk Dombrowski, Mohamed Saad, Katherine McLean, Samuel Friedman

“…We compute this new measure across simulated trajectories of a stochastic discrete dynamical system that models a social network of 25,000 individuals engaging in risk acts over a period of 15 years. …”
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Multiobjective Optimization Approach for Robust Bridge Damage Identification against Sensor Noise by Seung-Yong Ok, Sungmoon Jung, Junho Song

“…A major finding from this study is that the stochastic process of Pareto optimal solutions obtained in a single run not only captures the actual damage locations successfully but also provides useful information such as damage-detected ratio on the potential candidates for damage to be inspected on site. …”
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PiLiMoT: A Modified Combination of LoLiMoT and PLN Learning Algorithms for Local Linear Neurofuzzy Modeling by Atiye Sarabi-Jamab, Babak N. Araabi

“…The initially proposed algorithm is improved by adding the ability to merge previously divided local linear models, and utilizing a simulated annealing stochastic decision process to select a local model for splitting. …”
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Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System by Jianhui Wu, Yuanfa Ji, Xiyan Sun, Yan Xu

“…Car and bus travel are chosen as the research object, and a day-to-day evolution model of dual-mode network traffic flow (based on a stochastic user equilibrium model and the method of network tatonnement process) is established. …”
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SEDIMENT RUNOFF AND WATER TURBIDITY OF THE MAIN TRIBUTARIES OF THE LAKE LADOGA by Marina V. Shmakova, Sergey A. Kondratyev

“…The modeling of annual solid runoff and turbidity of the Ladoga tributaries is based on an analytical formula for sediment flow by M.V. Shmakova and a stochastic model of annual solid runoff (M.V. Shmakova). …”

Feasibility of Output-Only Modal Identification Using Wireless Sensor Network: A Quantitative Field Experimental Study by Wen-ai Shen, Ying Lei, Liang Hu, Yang Wang

“…With ambient bridge accelerations acquired by wireless sensing units, modal properties of the two bridges are identified using the stochastic subspace identification (SSI) method and the enhanced frequency domain decomposition (EFDD) method. …”
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Cooperation in the face of crisis: effect of demographic noise in collective-risk social dilemmas by José F. Fontanari

“…However, this equilibrium is unstable under the effect of demographic noise (finite population), since the cooperator-only and defector-only states are the only absorbing states of the stochastic dynamics. We use simulations and finite-size scaling to show that cooperators eventually die off and derive scaling laws for the transient lifetimes or half-lives of the coexistence metastable state. …”
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Local time statistics and permeable barrier crossing: From Poisson to birth-death diffusion equations by Toby Kay, Luca Giuggioli

“…While abundant cross-disciplinary literature on the topic has emerged over the years, the stochastic underpinnings of the process have yet to be linked quantitatively to easily measurable observables. …”
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On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation by Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne

“…To address this challenge, we present a stochastic method for measuring the coordinates of these lines, considering both the camera calibration uncertainties and measurement noise inherent in laser dot detection on a detection board. …”
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Pavement Analysis and Design by Multiphysics Reconstructing Algorithm for the Virtual Asphalt Mixture Based on the Discrete-Element Method by Danhua Wang, Xunhao Ding, Tao Ma, Weiguang Zhang, Deyu Zhang

“…By combining the AIMS scanning technology (Aggregate Imaging Measurement System) with the designed stochastic algorithm, the virtual coarse aggregates could be generated rapidly and precisely. …”
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