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Paul Naish

@PaulNaish78

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Executive Publisher @ Taylor & Francis #PhysicalSciences #Maths #Stats #DataScience #HistSci #STS #scicomm. Also: https://t.co/Qtu96BMcOc

Oxford
Joined January 2014
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@MCMDSJournal
Math Comput Model Dyn Syst - MCMDS
4 days
šŸ“¢ New paper: A novel non-Markovian degradation model with global state dependency for prognostics. A new framework for improved prognostics and RUL prediction in complex systems. https://t.co/bkNXWkpmVm
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@AnnalsOfScience
Annals of Science
6 days
From orbits to orbitals. Early pictorializations of electron probability densities https://t.co/VfnyywdjNu
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@MCMDSJournal
Math Comput Model Dyn Syst - MCMDS
8 days
šŸ“¢New paper: Geometrical representation & Hirota direct approach for M-coupled fractional equations. The study delivers compact analytical tools for multiple soliton solutions with applications in nonlinear optics and plasma physics. šŸ”— https://t.co/BrhCe1kUKM
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@jerelleaj
Jerelle A Joseph
10 days
Want to learn about how we use computational approaches at different scales to study biomolecular condensates? Check out our latest review, out in Advances in Physics X @JuliaMaristany @A_Emelianova @pinyuchew Anne Aguirre @rcollepardo https://t.co/0RpqBxOWfF
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@PaulNaish78
Paul Naish
10 days
Editorial to the special issue ā€˜Nonparametric Methods in Data Science and Applications’
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tandfonline.com
Published in Journal of Nonparametric Statistics (Vol. 37, No. 4, 2025)
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@PaulNaish78
Paul Naish
13 days
Robust Principal Component Analysis with Truncated Weighted Nuclear Norm and Adaptive Histogram Equalization: A Novel Method for Low-Quality Retinal Image Enhancement
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tandfonline.com
Robust Principal Component Analysis (RPCA) methods are widely used in data-driven applications, including biomedical imaging, where retinal images often suffer from noise and artifacts that reduce ...
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@PaulNaish78
Paul Naish
13 days
Volume 3 Editorial for Research in Statistics - an update from the Editor-in-Chief @tandfSTEM
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Published in Research in Statistics (Vol. 3, No. 1, 2025)
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