Results 11 to 20 of about 370,711 (273)
Discrete-event simulation modeling for housing of homeless populations. [PDF]
PLoS One, 2023 The San Francisco Bay Area has experienced a rapid rise in homelessness over the past decade. There is a critical need for quantitative analysis to help determine how to increase the amount of housing to meet the needs of people experiencing homelessness.
Singham DI, Lucky J, Reinauer S.
europepmc +3 more sources
A web-based simulation of discrete-event system of system with the mobile application DEVSimPy-mob
SoftwareX, 2021 The paper proposes an original architecture to execute discrete-event simulations using mobile devices (in particular smartphones) and cloud. The originality of the proposed approach is highlighted by the way the connection between modeling and ...
Laurent Capocchi, Jean-Francois Santucci
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Discrete-Event Simulation of Quantum Walks
Frontiers in Physics, 2020 We use discrete-event simulation on a digital computer to study two different models of experimentally realizable quantum walks. The simulation models comply with Einstein locality, are as “realistic” as the one of the simple random walk in that the ...
Madita Willsch +5 more
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Nature Communications, 2020 Transport properties of melts in the deep Earth have dictated the evolution of the early Earth’s magma oceans and also govern many modern dynamic processes, such as plate tectonics.
Arnab Majumdar +4 more
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Discrete-Event Simulation in Healthcare Settings: A Review
Modelling, 2022 We review and define the current state of the art as relating to discrete event simulation in healthcare-related systems. A review of published literature over the past five years (2017–2021) was conducted, building upon previously published work. PubMed
John J. Forbus, Daniel Berleant
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Discrete Event Modeling and Simulation for Reinforcement Learning System Design
Information, 2022 Discrete event modeling and simulation and reinforcement learning are two frameworks suited for cyberphysical system design, which, when combined, can give powerful tools for system optimization or decision making process for example.
Laurent Capocchi +1 more
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Computational challenges to test and revitalize Claude Lévi-Strauss transformational methodology
Big Data & Society, 2021 The ambition and proposal for data modeling of myths presented in this paper is to link contemporary technical affordances to some canonical projects developed in structural anthropology.
Albert Doja +2 more
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Dinamika Rekayasa, 2023 Pada pabrik ini belum ada penetapan kebijakan pemesanan bahan bak. Saat ini pemesanan bahan baku dilakukan berdasarkan keinginan pemilik pabrik. Sehingga tujuan dari penelitian adalah mengetahui jumlah dan waktu pemesanan bahan baku berdasarkan jumlah ...
Maria Krisnawati +2 more
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Research on Acceleration Technology in High Throughput Many-core Parallel Simulation [PDF]
Jisuanji gongcheng, 2017 The rapid development of high-throughput applications makes simulation speed increasingly become the bottleneck of large-scale many-core architecture research.In order to solve this problem,based on the simulation platform of high-throughput many-core ...
FANG Guoqing,LI Wenming,YU Yang,ZHANG Yang,YE Xiaochun,AN Hong
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simmer: Discrete-Event Simulation for R
Journal of Statistical Software, 2019 The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring capabilities.
Iñaki Ucar, Bart Smeets, Arturo Azcorra
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