Results 71 to 80 of about 2,043,515 (147)

Deep Residual Combiner: A Learned Fusion of Spatial, Temporal, and Multiscale Correlated Pixel Estimates

Computer Graphics Forum, EarlyView.
Abstract Correlation‐based rendering techniques continue to advance, and efficiently exploiting correlations between pixel estimates has become increasingly important. The deep combiner framework [BHHM20] allows us to fuse independent and correlated pixel estimates but focuses solely on spatial correlations.
W. Zhou, E. Hughes, T. Hachisuka
wiley   +1 more source

Intelligent Diagnosis of Rolling Element Bearing Based on Refined Composite Multiscale Reverse Dispersion Entropy and Random Forest

, 2022
Rolling bearings are the vital components of large electromechanical equipment, thus it is of great significance to develop intelligent fault diagnoses for them to improve equipment operation reliability.
Xuejun Liu, Hongkun Li, Zuye Yang, Chaoge Wang, Aiqiang Liu   +4 more
core   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

Computer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang, John Restrepo, Xun Cao, Ivo Ihrke   +3 more
wiley   +1 more source

A multi-stage denoising method for underwater acoustic signal based on adaptive decomposition mechanism and multidimensional fusion clustering

Defence Technology
To improve the signal-to-noise ratio and information fidelity of underwater acoustic signal, a multi-stage denoising method for underwater acoustic signal based on adaptive decomposition mechanism and multidimensional fusion clustering is proposed.
Guohui Li, Yuqing Du, Hong Yang
doaj   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing

, 2019
Multiscale fuzzy entropy (MFE), as an enhanced multiscale sample entropy (MSE) method, is an effective nonlinear method for measuring the complexity of time series.
Jinyu Tong, Jiahan Bao, Qingyun Liu, Haiyang Pan, Jinde Zheng   +4 more
core   +1 more source

Sedentary ageing remodels the structure–function relationships that underlie calcium signalling at super‐resolution scales in the heart

The Journal of Physiology, EarlyView.
Abstract figure legend Illustration of calcium spark function and ryanodine receptor (RyR) structure within a sedentary model of ageing. Upon sympathetic stimulation from 1 µM isoprenaline a linear response to calcium spark morphology occurred, accompanied by a biphasic progression of RyR remodelling across age.
Miriam E. Hurley, David Conesa, Alan P. Benson, Michael A. Colman   +3 more
wiley   +1 more source

Dynamic Surface‐Enhanced Raman Scattering Platform With Multiscale Nanostructural Engineering and Programmable Surface Energy for Artificial Intelligence‐Assisted Discrimination of Helicobacter pylori

Advanced Oncology, Volume 1, Issue 1, December 2026.
This study develops a dynamic surface‐enhanced Raman scattering (D‐SERS) platform integrating multiscale nanoparticle geometry, quantum dot coupling, surface‐energy programming, and a multilayer perceptron model for AI‐assisted classification. It enables ultrahigh sensitivity, noninvasive detection, and specific Helicobacter pylori identification.
Ming‐Chang Lu, Chia‐Jung Lee, Chih‐Yuan Yao, Bo‐Ying Wu, Chih‐Wei Chiu   +4 more
wiley   +1 more source

A Refined Composite Multivariate Multiscale Fluctuation Dispersion Entropy and Its Application to Multivariate Signal of Rotating Machinery

, 2021
In the fault monitoring of rotating machinery, the vibration signal of the bearing and gear in a complex operating environment has poor stationarity and high noise.
Lang Liu, Hongyuan Jiang, Guangyou Yang, Xuehai Chen, Chenbo Xi   +4 more
core   +1 more source

An Attention Aware Pooling Strategy for Efficient Multi‐Label Classification of Aerial Forest Imagery

Expert Systems, Volume 43, Issue 12, December 2026.
ABSTRACT Accurate multi‐label classification of aerial forest imagery is a critical component of large‐scale forest monitoring, biodiversity assessment and climate‐related decision making. Unlike single‐label scenarios, natural forest scenes exhibit strong class co‐occurrence, severe class imbalance and spatially heterogeneous label relevance, which ...
Fazli Amin Khalil, Atif Khan, Sana Ul Haq, Mohammad Haseeb Zafar   +3 more
wiley   +1 more source