Results 71 to 80 of about 808,398 (185)
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
Magnetotelluric (MT) data processing can increase the reliability of measured data. Traditional MT data denoising methods are usually applied to entire MT time-series, which results in the loss of useful MT signals and a decrease of imaging accuracy of ...
Xian Zhang +5 more
doaj +1 more source
Vision‐Based Tactile Finger Integrating Fingerpad and Nail Sensing for Robotic Manipulation
This vision‐based tactile finger captures nail force and fingerpad force, contact position, and in‐plane orientation with one internal camera. An external camera recognizes the target and presets finger inclination from object height. The compact dual‐sensing design supports tactile‐guided table contact and reliable grasping of objects ranging from ...
Hao Zhou, Kazuhiro Shimonomura
wiley +1 more source
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li +3 more
wiley +1 more source
The Multiscale Entropy Algorithm and Its Variants: A Review
Multiscale entropy (MSE) analysis was introduced in the 2002 to evaluate the complexity of a time series by quantifying its entropy over a range of temporal scales. The algorithm has been successfully applied in different research fields.
Anne Humeau-Heurtier
doaj +1 more source
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung +5 more
wiley +1 more source
Age-Related Differences in Complexity During Handgrip Control Using Multiscale Entropy
Changes in motor behavior during aging might be induced by complexity fluctuations in the neuromuscular system. Most previous studies have been performed based on single-scale entropies.
Yuanyu Wu +4 more
doaj +1 more source
High complexity measured by multiscale entropy.
High complexity measured by multiscale entropy.
E. R. Anirudh (12769992) +4 more
core +1 more source
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source

