Optimal Control of Airport Operations with Gate Capacity Constraints by Khadilkar, Harshad Dilip, Balakrishnan, Hamsa

“…The proposed strategy also explicitly accounts for the practical constraints that arise due to limited gate resources at the airport. A stochastic network abstraction of the airport surface is used to model aircraft movement, and the optimal release time for each aircraft is calculated using dynamic programming. …”
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A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control by P. Arun Mozhi Devan, Fawnizu Azmadi Hussin, Rosdiazli Ibrahim, Kishore Bingi, Farooq Ahmad Khanday

“…On the other hand, using IWSNs for process control comes with the critical challenge of handling stochastic network delays, packet drop, and external noises which are capable of degrading the controller performance. …”
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Quality assessment and community detection methods for anonymized mobility data in the Italian Covid context by Jules Morand, Shoichi Yip, Yannis Velegrakis, Gianluca Lattanzi, Raffaello Potestio, Luca Tubiana

“…Using the Perron-Frobenius (PF) theorem, we show how the mean stochastic network has a stationary population density state comparable with data from Istat, and how this ceases to be the case if even a moderate amount of pruning is applied to the network. …”
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Capturing Dependency Among Link Boundaries in a Stochastic Dynamic Network Loading Model by Osorio Pizano, Carolina, Flotterod, Gunnar

“…This work adds realistic dependency structure to a previously developed analytical stochastic network loading model. The model is a stochastic formulation of the link-transmission model, which is an operational instance of Newell’s simplified theory of kinematic waves. …”
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Moment-linear stochastic systems and their applications by Roy, Sandip, 1978-

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Estimating PMTCT's Impact on Heterosexual HIV Transmission: A Mathematical Modeling Analysis. by Aditya S Khanna, Sarah T Roberts, Susan Cassels, Roger Ying, Grace John-Stewart, Steven M Goodreau, Jared M Baeten, Pamela M Murnane, Connie Celum, Ruanne V Barnabas

“…MATERIALS AND METHODS:We constructed and validated dynamic, stochastic, network-based HIV transmission models for each region. …”
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THE ECONOMIC-MATHEMATICAL MODELLING OF PROCESSES OF OPTIMIZATION OF SUGAR RAW MATERIALS’ LOGISTICS AT SUGAR FACTORIES by O. А. Lagovska, O. G. Denysiuk, Yе. І. Ovcharenko, N. M. Andryeyeva

“…Therefore, in the case of mathematical modeling, a stochastic network model was used. The complexity of the task of organizing the supply of raw materials by small and middle producers is due to the fact that the set of sugar beet suppliers is an open heterogeneous system, and the consumer is a link of a centralized association with a hierarchical structure. …”
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Metapopulation dynamics of SARS-CoV-2 transmission in a small-scale Amazonian society. by Thomas S Kraft, Edmond Seabright, Sarah Alami, Samuel M Jenness, Paul Hooper, Bret Beheim, Helen Davis, Daniel K Cummings, Daniel Eid Rodriguez, Maguin Gutierrez Cayuba, Emily Miner, Xavier de Lamballerie, Lucia Inchauste, Stéphane Priet, Benjamin C Trumble, Jonathan Stieglitz, Hillard Kaplan, Michael D Gurven

“…To assess the vulnerability of such populations and the viability of interventions such as voluntary collective isolation, we simulate and analyze the dynamics of SARS-CoV-2 infection among Amazonian forager-horticulturalists in Bolivia using a stochastic network metapopulation model parameterized with high-resolution empirical data on population structure, mobility, and contact networks. …”
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Activity-driven network modeling and control of the spread of two concurrent epidemic strains by Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri

“…We draw analytical insight from the dynamics of the stochastic network systems through a mean-field approach, which allows for characterizing the onset of different behavioral phenotypes (non-epidemic, epidemic, and endemic). …”
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Balancing container inventories for ocean carriers by Balzola, Ricardo, 1971-

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Forecasting global spread of invasive pests and pathogens through international trade by Kellyn Montgomery, Chelsey Walden‐Schreiner, Ariel Saffer, Chris Jones, Benjamin J. Seliger, Thom Worm, Laura Tateosian, Makiko Shukunobe, Sunil Kumar, Ross K. Meentemeyer

“…This paper presents a flexible spatiotemporal stochastic network model called PoPS (Pest or Pathogen Spread) Global that couples international trade networks with core drivers of biological invasions—climate suitability, host availability, and propagule pressure—quantified through open, globally available databases to forecast the spread of non‐native plant pests. …”
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6G Goal-Oriented Communications: How to Coexist with Legacy Systems? by Mattia Merluzzi, Miltiadis C. Filippou, Leonardo Gomes Baltar, Markus Dominik Mueck, Emilio Calvanese Strinati

“…Then, after a performance evaluation aiming to clarify the difference between communication performance and goal effectiveness, a long-term optimization problem is formulated and solved via Lyapunov stochastic network optimization tools to guarantee the desired target performance. …”
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Matrix Approach for Analyzing <i>n</i>-Site Generalized ASIP Systems: PGF and Site Occupancy Probabilities by Uri Yechiali, Yaron Yeger

“…The Asymmetric Simple Inclusion Process (ASIP) is an <i>n</i>-site tandem stochastic network with a Poisson arrival influx into the first site. …”
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A Bregman splitting scheme for distributed optimization over networks by Xu, Jinming, Zhu, Shanying, Soh, Yeng Chai, Xie, Lihua

“…However, we will show that it is generally different from the existing ones due to its effectiveness in handling stochastic networks. With proper assumptions, we establish a nonergodic convergence rate of O(1/k) in terms of fixed-point residuals over fixed networks both for D-FBBS and its inexact version (ID-FBBS) that is more computationally efficient and an ergodic convergence rate of O(1/k) for D-FBBS over stochastic networks. …”
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Augmented distributed optimization for networked systems by Xu, Jinming

“…The proposed algorithm allows agents to communicate asynchronously and thus lends itself to stochastic networks. This algorithm belongs to the family of general proximal point algorithms and is shown to have close connections with some existing well-known algorithms for fixed networks but generally different from them in handling stochastic networks. …”
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Ageing transitions in a network of Rulkov neurons by Dhrubajyoti Biswas, Sayan Gupta

“…Investigations are undertaken for both the noise free network as well as stochastic networks, where the interneuronal coupling strength is assumed to be superimposed with additive noise. …”
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Quantification of Random Pore Structures of Porous Adsorbents by R. Mann, H.N.S. Yousef

“…For 3-D random pattern stochastic networks, it is possible to interpret sectioned SEM images using ‘random’ slices of particles subject to low melting point alloy visual porosimetry in order to arrive at measures of random pore structure. …”
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Mean field analysis for inhomogeneous bike sharing systems by Christine Fricker, Nicolas Gast, Hanene Mohamed

“…In the paper, bike sharing systems with stations having a finite capacity are studied as stochastic networks. The inhomogeneity is modeled by clusters. …”
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A new stochastic diffusion model for influence maximization in social networks by Alireza Rezvanian, S. Mehdi Vahidipour, Mohammad Reza Meybodi

“…Numerical simulations conducted on real and artificial stochastic networks demonstrate the effectiveness of the proposed stochastic diffusion model for influence maximization.…”
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rl4dtn: Q-Learning for Opportunistic Networks by Jorge Visca, Javier Baliosian

“…Opportunistic networks are highly stochastic networks supported by sporadic encounters between mobile devices. …”
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