Results 31 to 40 of about 8,406,664 (294)

Deep Residual Transform for Multi-scale Image Decomposition

Journal of Computational Vision and Imaging Systems, 2021
Multi-scale image decomposition (MID) is a fundamental task in computer vision and image processing that involves the transformation of an image into a hierarchical representation comprising of different levels of visual granularity from coarse structures to fine details.
Linlin Xu, Yifan Wu, Yuan Fang, Alexander Wong, Yuhao Chen   +4 more
openaire   +2 more sources

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Multi Sensor Image Fusion using Empirical Mode Decomposition [PDF]

, 2013
Image fusion is a process of combining relevant information from two or more images from different sensors based on certain algorithm. Many algorithms have been proposed for pixel level image fusion.
Naidu, VPS, Shakthipriya, VS
core  

The multi-scale decomposition image.

, 2018
The multi-scale decomposition image.
Shenghua Jin (662923), Shangbing Gao (5421047), He Sun (446247), Zhengwei Zhang (584229)   +3 more
core   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Multi-scale modeling of gas-fluidized beds [PDF]

, 2006
Numerical models of gas-fluidized beds have become an important tool in the design and scale up of gas-solid chemical reactors. However, a single numerical model which includes the solid-solid and solid-fluid interaction in full detail is not feasible ...
Hoef, van der, M.A., van der Hoef, Martin Anton, Ye, M., Andrews IV, A.T., van der Hoef, M.A., S. Sundaresan, Sint Annaland, M Martin van, Sundaresan, S, Kuipers, J.A.M., van Sint Annaland, M., M. van Sint Annaland, Kuipers, J.A.M.; id_orcid, Ye, M Mao, Kuipers, JAM Hans, Andrews, A.T., A.T. Andrews, M. Ye, Sint Annaland, van, M., M.A. van der Hoef, Hoef, MA Martin van der, Andrews, AT, Sundaresan, S., J.A.M. Kuipers   +22 more
core   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Multi‐Scale Decomposition for Skillful All‐Season MJO Prediction With Deep Learning

Geophysical Research Letters
The Madden‐Julian Oscillation (MJO) is a key intraseasonal atmospheric pattern in the tropics, significantly influencing global weather and extreme events.
Miae Kim, Daehyun Kang, Soo‐Jin Sohn, Gayoung Kim, Jinyoung Rhee, Sunyong Kim   +5 more
doaj   +1 more source

Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis

IEEE Access
To enhance the quality of speech signals, this paper introduces a novel speech signal processing method that integrates Dynamic Multi-Scale (DMS) and Adaptive Error Minimization (AEM) techniques.
Zefei Guo, Xiao Li, Yuchen Zhang
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source