Results 221 to 230 of about 338,685 (349)

Corrigendum to “Feature layer fusion of linear features and empirical mode decomposition of human EMG signal” [J. Electron. Sci. Technol. 20 (3) (2022), 100169]

Jun-Yao Wang, Yuehong Dai, Xiaxi Si
openalex   +1 more source

Nanozyme Microrobots: Programmable Spatiotemporal Catalysis for Targeted Therapy and Diagnostics

Advanced Science, EarlyView.
This review presents nanozyme microrobots as emerging catalytic systems that integrate mobility, external actuation, and adaptive reactivity to achieve precise biochemical functions. By examining mobility‐regulated catalysis, spatial targeting, integrated designs, and translational demonstrations, the article highlights how nanozyme robotics enables ...
Hong Huy Tran, Nil Kanatha Pandey, David P. Cormode, Daeyeon Lee, Edward Steager, Hyun Koo   +5 more
wiley   +1 more source

Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks. [PDF]

Sensors (Basel)
Zeng S, Cui J, Luo D, Lu N.
europepmc   +1 more source

An Empirical Mode Decomposition Fuzzy Forecast Model for COVID-19. [PDF]

Neural Process Lett, 2022
Chen BL, Shen YY, Zhu GC, Yu YT, Ji M.
europepmc   +1 more source

WITHDRAWN: A robust method for heart sounds classification based on empirical mode decomposition adaptive reconstruction.

, 2023
Yi Chen, Ming Liu, Yu Wang, Hongtao Fan, Yaojie Sun   +4 more
openalex   +1 more source

Unraveling Hydride‐Driven Multiphasic Reduction Toward Tunable Germanium Structures for Lithium‐Ion Batteries

Advanced Science, EarlyView.
The sodium hydride (NaH)‐mediated reduction of germanium dioxide yields distinct Ge structures depending on the amount of reductant, revealing the dual roles of NaH in the reduction pathways. The synthesized Ge under off‐stoichiometric conditions exhibits a porous morphology and reduced crystallinity, which effectively mitigates volume expansion during
Gijung Lee, Jieun Kang, Jin Yong Kwon, Woori Bae, Noh‐Moon Lee, Byeongho Park, Yujin Park, Changwan Sun, Jihee Yoon, Hyungmin Park, Bonjae Koo, Jin Woo Yi, Jaegeon Ryu   +12 more
wiley   +1 more source

Enhanced MRI-PET fusion using Laplacian pyramid and empirical mode decomposition for improved oncology imaging. [PDF]

PLoS One
Suryanarayana G, Nimmagadda SM, Nageswara Rao S, Y Mahnashi AM, Kondamuri SR, Hussain Ahmadini AA, Zaagan AA, Msmali AH.   +7 more
europepmc   +1 more source

Empirical mode decomposition using deep learning model for financial market forecasting. [PDF]

PeerJ Comput Sci, 2022
Jin Z, Jin Y, Chen Z.
europepmc   +1 more source

A time series processing tool to extract climate-driven interannual vegetation dynamics using Ensemble Empirical Mode Decomposition (EEMD)

, 2015
Pieter Hawinkel, Else Swinnen, Stef Lhermitte, Bruno Verbist, Jos Van Orshoven, Bart Muys   +5 more
openalex   +2 more sources

Diffusion Characteristics of Ru and Oxygen Vacancies in Ta2O5 for Resistive Random Access Memory Devices: A Density Functional Theory Investigation

Advanced Electronic Materials, EarlyView.
Atomistic analysis of ruthenium (Ru) and oxygen vacancy (OV) diffusion in Ta₂O₅‐based memristors is performed. DFT calculations demonstrate interstitial Ru in Ta₂O₅ has lower diffusion barriers and formation energies than OVs, enhancing mobility and stability.
Md. Sherajul Islam, Sabyasachi Ganguli, J. Joshua Yang, Ajit K Roy   +3 more
wiley   +1 more source