Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ebeigbe, Donald"'
Autor:
Ebeigbe, Donald, Berry, Tyrus, Norton, Michael M., Whalen, Andrew J., Simon, Dan, Sauer, Timothy, Schiff, Steven J.
The unscented transform uses a weighted set of samples called sigma points to propagate the means and covariances of nonlinear transformations of random variables. However, unscented transforms developed using either the Gaussian assumption or a mini
Externí odkaz:
http://arxiv.org/abs/2104.01958
Autor:
Ebeigbe, Donald Ehima
This dissertation focuses on the control of rigid robots that cannot easily be modeled due to complexity and large uncertainties. The function approximation technique (FAT), which represents uncertainties as finite linear combinations of orthonormal
Publikováno v:
Phys. Rev. Research 2, 043028 (2020)
An optimal filter for Poisson observations is developed as a variant of the traditional Kalman filter. Poisson distributions are characteristic of infectious diseases, which model the number of patients recorded as presenting each day to a health car
Externí odkaz:
http://arxiv.org/abs/2003.11194
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Publikováno v:
2016 Annual IEEE Systems Conference (SysCon); 2016, p1-6, 6p
Autor:
Berry T; Department of Mathematical Sciences, George Mason University, Fairfax, VA, USA., Ferrari M; Department of Biology, Center for Infectious Disease Dynamics, Penn State University, University Park, PA USA., Sauer T; Department of Mathematical Sciences, George Mason University, Fairfax, VA, USA., Greybush SJ; Department of Meteorology and Atmospheric Science and Institute for Computational and Data Sciences, Penn State University, University Park, PA, USA., Ebeigbe D; Department of Electrical Engineering Penn State University, University Park, PA, USA., Whalen AJ; Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA.; Department of Neurosurgery, Yale University, New Haven, CT, USA., Schiff SJ; Department of Neurosurgery, Yale University, New Haven, CT, USA.
Publikováno v:
MedRxiv : the preprint server for health sciences [medRxiv] 2023 Oct 23. Date of Electronic Publication: 2023 Oct 23.
Autor:
Ebeigbe D; Center for Neural Engineering, Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA., Berry T; Department of Mathematical Sciences, George Mason University, Fairfax, VA, USA., Norton MM; Center for Neural Engineering, Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA., Whalen AJ; Center for Neural Engineering, Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA, USA.; Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Simon D; Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH, USA., Sauer T; Department of Mathematical Sciences, George Mason University, Fairfax, VA, USA., Schiff SJ; Center for Neural Engineering and Center for Infectious Disease Dynamics, Departments of Engineering Science and Mechanics, Neurosurgery, and Physics, Pennsylvania State University, University Park, PA, USA.
Publikováno v:
ArXiv [ArXiv] 2021 Apr 05. Date of Electronic Publication: 2021 Apr 05.