Symplectic geometry mode decomposition

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A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis"

The symplectic geometry mode decomposition (SGMD) is a powerful method for decomposing time series, which is based on the diagonal averaging principle (DAP) inherited from the singular spectrum analysis (SSA). Although the authors of SGMD method generalized the form of the trajectory matrix in SSA, the DAP is not updated simultaneously.
Zhang, Hong-Yan, Liu, Haoting, Lin, Rui-Jia, Zhou, Yu +3 more
openaire +1 more source

Modern developments in germline pharmacogenomics for oncology prescribing

Ca-A Cancer Journal for Clinicians, 2022
Natalie M Reizine, Peter H O'donnell
exaly

Effective uptake of submicrometre plastics by crop plants via a crack-entry mode

Nature Sustainability, 2020
Lianzhen Li, Yongming Luo
exaly

Enhancement-mode ion-based transistor as a comprehensive interface and real-time processing unit for in vivo electrophysiology

Nature Materials, 2020
Claudia Cea +2 more
exaly

The default mode network in cognition: a topographical perspective

Nature Reviews Neuroscience, 2021
Jonathan Smallwood, Boris C Bernhardt, Robert Leech +2 more
exaly

Theoretical study of contact-mode triboelectric nanogenerators as an effective power source

Energy and Environmental Science, 2013
Simiao Niu, Sihong Wang, Long Lin
exaly

Examining the relationship between coordination mode and reactivity of dinitrogen

Nature Reviews Chemistry, 2017
Michael D Fryzuk
exaly