Results 201 to 210 of about 1,066,558 (287)
Deep learning-based labor relations prediction system with multi-source data fusion and early warning mechanisms. [PDF]
Liu E, Cho K.
europepmc +1 more source
Knitted Pneumatic Fabrics for Dynamic Pressure Modulation in Personalized Healthcare Wearables
A pneumatic pressure‐regulating knitted fabric (PPKF) is developed, in which knitted pneumatic circuit enables the seamless integration of ultralow radial expansion pneumatic fiber into dual‐channel textile structure. By strategically modulating channel spacing, delivering adjustable dynamic pressures and clinically relevant gradient compression ratios.
Xiaoyu Chen +5 more
wiley +1 more source
Nanostructural engineering presents an opportunity for next-generation multi-dimensional camouflage. [PDF]
Wei B, Du J.
europepmc +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Pose-Based Static Sign Language Recognition with Deep Learning for Turkish, Arabic, and American Sign Languages. [PDF]
Yayla R, Üçgün H, Abbas M.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
ROS 2-Based Architecture for Autonomous Driving Systems: Design and Implementation. [PDF]
Bonci A +5 more
europepmc +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Advanced Materials and Processing Technologies. [PDF]
Ćurković L, Jozić S, Žmak I.
europepmc +1 more source

