ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS by Jakub Antoš, Václav Nežerka, Michael Somr

“…An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.…”
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Temporal causal inference with stochastic audiovisual sequences. by Shannon M Locke, Michael S Landy

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Research on Vehicle Path Planning Method with Time Windows in Uncertain Environments by Ying Cong, Kai Zhu

“…Numerical experiments demonstrate the superior performance of the hybrid algorithm, achieving lower total costs compared to standalone ant colony, zebra optimization, genetic algorithm, and particle swarm optimization algorithms. …”
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Stochastic analysis of dynamics the strategic compliance of company Aeroflot by P. A. Mikhnenko

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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

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Comprehensive analysis of cryptocurrency, virtual digital assets, and distributed ledger technology with insights into Indian policies and research trends by Kaushik Ghosh, Prabir Kumar Das

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Stochastic logic in biased coupled photonic probabilistic bits by Michael Horodynski, Charles Roques-Carmes, Yannick Salamin, Seou Choi, Jamison Sloan, Di Luo, Marin Soljačić

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Innovative approaches to beam forming antenna array systems with adaptive Partial Update NLMS algorithms by Zahraa A. Shubber, Thamer M. Jamel, Ali.K. Nahar

“…The key innovation and contribution of this research was to use Partial Update (PU) instead of full band adaptive algorithms, as no previous attempt had been made to do so. …”
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Optimization of delivery routes for takeout under time-varying road networks by Jiaci Wang, Liang Huang, Yuanqiao Wen, Yamin Huang, Man Zhu

“…The proposed model is solved using a taboo search algorithm. The effectiveness of the delivery model and algorithm is validated through simulations that compare the performance of the delivery route model under different weather conditions and road obstacle coefficients. …”
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Research on Particle Swarm Optimization-Based UAV Path Planning Technology in Urban Airspace by Qing Cheng, Zhengyuan Zhang, Yunfei Du, Yandong Li

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HSimulator: Hybrid Stochastic/Deterministic Simulation of Biochemical Reaction Networks by Luca Marchetti, Rosario Lombardo, Corrado Priami

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From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation by Seok Joo Chae, Seolah Shin, Kangmin Lee, Seunggyu Lee, Jae Kyoung Kim

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Fractional Stochastic Van der Pol Oscillator with Piecewise Derivatives by Atul Kumar, Khursheed Alam, Mati ur Rahman, Homan Emadifar, Geeta Arora, Ahmed A. Hamoud

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Stochastic Planning of Synergetic Conventional Vehicle and UAV Delivery Operations by Konstantinos Kouretas, Konstantinos Kepaptsoglou

“…A nested genetic algorithm is initially used to solve the problem under fixed conditions. …”
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

“…As we know, the theoretical research on convex optimizations has made significant achievements, while theoretical understandings of non-convex optimization are still far from mature. …”
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Network capacity with probit-based stochastic user equilibrium problem. by Lili Lu, Jian Wang, Pengjun Zheng, Wei Wang

“…Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. …”
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Stochastic Photoresponse‐Driven Perovskite TRNGs for Secure Encryption Systems by Dante Ahn, Minz Lee, Woochul Kim, Yeon Kyung Lee, Jun Young Lee, Gun Young Jung, Hangyeol Choi, Yohan Yoon, Hyun Seok Song, Heon Lee, Minah Seo, Jungwook Min, Yusin Pak

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Design of experiments for the stochastic unit commitment with economic dispatch models by Nahal Sakhavand, Jay Rosenberger, Victoria C.P. Chen, Harsha Gangammanavar

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A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems by Salman Baroumand, Amir Reza Zaman, Mohammad Reza Mahmoudi

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Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering by Piotr Szczepocki

“…Aim: The paper aims to propose a new estimation method for the Cholesky Multivariate Stochastic Volatility Model based on the iterated filtering algorithm (Ionides et al., 2006, 2015). …”
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