Results 141 to 150 of about 4,895 (259)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Discrete Wavelet Transform and Wavelet Synopses [PDF]

, 2011
openaire   +2 more sources

Analysis of hybrid integer wavelet transform and singular value decomposition for image steganography under various noise conditions. [PDF]

Sci Rep
Chinnusami M, Kolli D, Shreela S, Anbazhagan R, Amirtharajan R.   +4 more
europepmc   +1 more source

Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

Advanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen, Jiahe Wei, Jonathan Cedernaes, Christian Benedict, Athanasios Tsanas, Zhi Cao, Xiao Tan   +6 more
wiley   +1 more source

Wavelet-based visual compass. [PDF]

PLoS One
Meyer S, Knight JC, Dewar A, Kagioulis E, Nowotny T, Graham PR, Philippides A.   +6 more
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Sparse Transform and Compressed Sensing Methods to Improve Efficiency and Quality in Magnetic Resonance Medical Imaging. [PDF]

Sensors (Basel)
Villota S, Inga E.
europepmc   +1 more source

Super‐Resolution and High‐Data‐Density Acoustic Meta‐Hologram via Amplitude and Phase Coupling

Advanced Science, EarlyView.
A super‐resolution acoustic meta‐hologram utilizes amplitude‐phase coupling under energy conservation constraints to overcome the traditional diffraction limit. This conceptually advanced approach achieves high‐fidelity acoustic field reconstruction and dense information transmission, unlocking new potentials for high‐resolution acoustic imaging and ...
Xiao Guo, Xinzong Wang, Guoshen Tang, Haohan Zeng, Siqi Fan, Xinghao Hu, Youyu Mo, Zhenyu He, Tingting Li, Hui Xu, Jiao Shen, Haiyan Fan, Xiaoxiang Gao, Yifan Zhu, Hui Zhang, Badreddine Assouar   +15 more
wiley   +1 more source

Gaussian-Haar transform fusion enhances DEIM for pomegranate maturity detection. [PDF]

Sci Rep
Wang Y, Liu S, Hao P, Liu W, Zhao K.
europepmc   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, EarlyView.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source