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检索条件"机构=Computational and Data-Enabled Science and Engineering Program"
199 条 记 录,以下是51-60 订阅
排序:
An accurate front capturing scheme for tumor growth models with a free boundary limit
arXiv
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arXiv 2017年
作者: Liu, Jian-Guo Tang, Min Wang, Li Zhou, Zhennan Department of Mathematics Department of Physics Duke University Department of Mathematics Institute of Natural Sciences MOE LSC Shanghai Jiao Tong University Department of Mathematics Computational and Data-Enabled Science and Engineering Program State University of New York Buffalo United States Department of Mathematics Duke University
We consider a class of tumor growth models under the combined effects of density-dependent pressure and cell multiplication, with a free boundary model as its singular limit when the pressure-density relationship beco... 详细信息
来源: 评论
Temporal motifs in patent opposition and collaboration networks
arXiv
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arXiv 2021年
作者: Liu, Penghang Masuda, Naoki Kito, Tomomi Sarıyüce, Ahmet Erdem Department of Computer Science and Engineering State University of New York at Buffalo BuffaloNY United States Department of Mathematics State University of New York at Buffalo BuffaloNY United States Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo BuffaloNY United States Faculty of Science and Engineering Waseda University Tokyo Japan
Patents are intellectual properties that reflect innovative activities of companies and organizations. The literature is rich with the studies that analyze the citations among the patents and the collaboration relatio... 详细信息
来源: 评论
Finite-size effects on the convergence time in continuous-opinion dynamics
arXiv
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arXiv 2021年
作者: Jo, Hang-Hyun Masuda, Naoki Department of Physics The Catholic University of Korea Bucheon14662 Korea Republic of Department of Mathematics State University of New York at Buffalo 14260-2900 United States Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo 14260-5030 United States
We study finite-size effects on the convergence time in a continuous-opinion dynamics model. In the model, each individual's opinion is represented by a real number on a finite interval, e.g., [0;1], and a uniform... 详细信息
来源: 评论
Clustering in Networks Via Kernel-ARMA Modeling and the Grassmannian: The Brain-Network Case
arXiv
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arXiv 2020年
作者: Ye, Cong Slavakis, Konstantinos Patil, Pratik V. Nakuci, Johan Muldoon, Sarah F. Medaglia, John NY14260 United States Neuroscience Program University at Buffalo BuffaloNY14260 United States Department of Mathematics and the Computational and Data-Enabled Science and Engineering Program University at Buffalo SUNYNY14260 United States Department of Psychology Drexel University Perelman School of Medicine University of Pennsylvania PA19104 United States
This paper introduces a clustering framework for networks with nodes are annotated with time-series data. The framework addresses all types of network-clustering problems: State clustering, node clustering within stat... 详细信息
来源: 评论
A NEW NUMERICAL APPROACH TO INVERSE TRANSPORT EQUATION WITH ERROR ANALYSIS
arXiv
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arXiv 2017年
作者: Li, Qin Shu, Ruiwen Wang, Li Mathematics Department University of Wisconsin-Madison 480 Lincoln Dr. MadisonWI53705 United States Department of Mathematics Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo 244 Mathematics Building BuffaloNY14206 United States
The inverse radiative transfer problem finds broad applications in medical imaging, atmospheric science, astronomy, and many other areas. This problem intends to recover the optical properties, denoted as absorption a... 详细信息
来源: 评论
Entropy-isomap: Manifold learning for high-dimensional dynamic processes
arXiv
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arXiv 2018年
作者: Schoeneman, Frank Chandola, Varun Napp, Nils Wodo, Olga Zola, Jaroslaw Computer Science & Engineering University at Buffalo BuffaloNY United States Computer Science & Engineering Computational and Data-enabled Science & Engineering University at Buffalo BuffaloNY United States Materials Design & Innovation University at Buffalo BuffaloNY United States Computer Science & Engineering Biomedical Informatics University at Buffalo BuffaloNY United States
Scientific and engineering processes deliver massive high-dimensional data sets that are generated as non-linear transformations of an initial state and few process parameters. Mapping such data to a low-dimensional m... 详细信息
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Gillespie algorithms for stochastic multiagent dynamics in populations and networks
arXiv
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arXiv 2021年
作者: Masuda, Naoki Vestergaard, Christian L. Department of Mathematics State University of New York at Buffalo NY United States Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo NY United States Decision and Bayesian Computation Department of Neuroscience Cnrs Umr 3571 Department of Computational Biology Cnrs Usr 3756 Institut Pasteur Paris France
Many multiagent dynamics, including various collective dynamics occurring on networks, can be modeled as a stochastic process in which the agents in the system change their state over time in interaction with each oth... 详细信息
来源: 评论
The Waiting-Time Paradox
arXiv
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arXiv 2020年
作者: Masuda, Naoki Porter, Mason A. Department of Mathematics State University of New York at Buffalo BuffaloNY United States Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo BuffaloNY United States Department of Mathematics University of California Los Angeles Los AngelesCA United States
Suppose that you’re going to school and arrive at a bus stop. How long do you have to wait before the next bus arrives? Surprisingly, it is longer — possibly much longer — than what the bus schedule suggests intuit... 详细信息
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Concurrency measures in the era of temporal network epidemiology: A review
arXiv
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arXiv 2020年
作者: Masuda, Naoki Miller, Joel C. Holme, Petter Department of Mathematics State University of New York Buffalo United States Computational and Data-Enabled Science and Engineering Program State University of New York Buffalo United States School of Engineering and Mathematical Sciences La Trobe University Australia Institute of Innovative Research Tokyo Institute of Technology Yokohama226-8503 Japan
Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One early concept of the literature to aid i... 详细信息
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Waiting-time paradox in 1922
arXiv
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arXiv 2020年
作者: Masuda, Naoki Hiraoka, Takayuki Department of Mathematics University at Buffalo State University of New York BuffaloNY14260-2900 United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-5030 United States Department of Computer Science Aalto University Espoo00076 Finland
We present an English translation and discussion of an essay that a Japanese physicist, Torahiko Terada, wrote in 1922. In the essay, he described the waiting-time paradox, also called the bus paradox, which is a know... 详细信息
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