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pro vyhledávání: '"Sudam Surasinghe"'
Autor:
Sudam Surasinghe, Marisabel Rodriguez, Victor Meszaros, Jane Molofksy, Salvador Almagro-Moreno, Brandon Ogbunugafor
Publikováno v:
Northeast Journal of Complex Systems, Vol 5, Iss 1 (2023)
Infectious disease emergence has become the target of cross-disciplinary efforts that aim to understand and predict the shape of outbreaks. The many challenges involved with the prediction of disease emergence events is a characteristic that infectio
Externí odkaz:
https://doaj.org/article/b6ee2825250c44b7bc979ca283ed738e
Autor:
Sudam Surasinghe, Erik M. Bollt
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2803 (2021)
A data-driven analysis method known as dynamic mode decomposition (DMD) approximates the linear Koopman operator on a projected space. In the spirit of Johnson–Lindenstrauss lemma, we will use a random projection to estimate the DMD modes in a redu
Externí odkaz:
https://doaj.org/article/55dee2a3996c4ff5b281e86122c02833
Autor:
Sudam Surasinghe, Erik M. Bollt
Publikováno v:
Entropy, Vol 22, Iss 4, p 396 (2020)
Causal inference is perhaps one of the most fundamental concepts in science, beginning originally from the works of some of the ancient philosophers, through today, but also weaved strongly in current work from statisticians, machine learning experts
Externí odkaz:
https://doaj.org/article/a4d6055da73840e2999e5fe7a41cdcce