Results 61 to 70 of about 1,165,616 (316)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Multi‐Scale Decomposition for Skillful All‐Season MJO Prediction With Deep Learning
Geophysical Research LettersThe Madden‐Julian Oscillation (MJO) is a key intraseasonal atmospheric pattern in the tropics, significantly influencing global weather and extreme events.
Miae Kim +5 more
doaj +1 more source
Image Fusion Using Quaternion Wavelet Transform and Multiple Features
IEEE Access, 2017 Multi-scale-based image fusion is one of main fusion methods, in which multi-scale decomposition tool and feature extraction play very important roles.
Pengfei Chai +2 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Photovoltaic Decomposition Method Based on Multi-Scale Modeling and Multi-Feature Fusion
EnergiesDeep learning-based Non-Intrusive Load Monitoring (NILM) methods have been widely applied to residential load identification. However, photovoltaic (PV) loads exhibit strong non-stationarity, high dependence on weather conditions, and strong coupling ...
Zhiheng Xu +7 more
doaj +1 more source
Applied Sciences, 2023 Spatial–temporal prediction is an important part of a great number of applications, such as urban traffic control, urban traffic management, and urban traffic planning. However, real-world spatial–temporal data often have complex patterns, so it is still
Junhao Ming, Dongmei Zhang, Wei Han
doaj +1 more source
A multi-scale filament extraction method: getfilaments [PDF]
, 2013 Far-infrared imaging surveys of Galactic star-forming regions with Herschel have shown that a substantial part of the cold interstellar medium appears as a fascinating web of omnipresent filamentary structures.
Men'shchikov, A.
core +4 more sources
Packaging of Macroscopic Material Payloads: Needs, Challenges, Concepts, and Future Directions
Advanced Engineering Materials, EarlyView.This review introduces a unified framework that decomposes any macroscopic packaging system into the payload, packaging material, and packaging strategy and combines them into a conceptual packaging equation: packaging strategy = payload + packaging material.
Venkata S. R. Jampani, Manos Anyfantakis
wiley +1 more source
Infrared and visible image fusion algorithm based on spatial domain and image features.
PLoS ONE, 2022 Multi-scale image decomposition is crucial for image fusion, extracting prominent feature textures from infrared and visible light images to obtain clear fused images with more textures.
Liangjun Zhao +3 more
doaj +1 more source
Quantitative measurement of orbital angular momentum in electron microscopy
, 2014 Electron vortex beams have been predicted to enable atomic scale magnetic information measurement, via transfer of orbital angular momentum. Research so far has focussed on developing production techniques and applications of these beams.
Béché, A. +3 more
core +1 more source