Results 41 to 50 of about 8,888,697 (293)
The generated block map after modified multi-scale decomposition.
, 2018 The generated block map after modified multi-scale decomposition.
Shenghua Jin (662923) +3 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]
, 2012 Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H. +3 more
core +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Code for Paper: Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss
, 2022 This is the code to produce the figures from the paper "Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" as submitted for the initial ...
Saadabadi, Hamideh +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Particle morphology controls the balance between printability and electrical connectivity in low‐temperature AgCu/Ag metallization pastes. Flake‐shaped AgCu particles form extended low‐resistance contacts, whereas spherical particles favor processability at high metal loading. Fine Ag particles further tune void filling and conductive‐network formation
O. Mhirsi +3 more
wiley +1 more source
MSVMD-Informer: A Multi-Variate Multi-Scale Method to Wind Power Prediction
EnergiesWind power prediction plays a crucial role in enhancing power grid stability and wind energy utilization efficiency. Existing prediction methods demonstrate insufficient integration of multi-variate features, such as wind speed, temperature, and humidity,
Zhijian Liu +3 more
doaj +1 more source
Crude Oil Price Prediction Based On Multi-scale Decomposition [PDF]
, 2007 A synergetic model (DWT-LSSVM) is presented in this paper. First of all, the raw data is decomposed into approximate coefficients and the detail coefficients at different scales by discrete wavelet transforms (DWT). These coefficients obtained by previous phase are then used for prediction independently using least squares support vector machines ...
Yejing Bao +3 more
openaire +1 more source