Results 201 to 210 of about 729,502 (283)
Sign language recognition based on dual-channel star-attention convolutional neural network. [PDF]
Qin J, Wang M.
europepmc +1 more source
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey +6 more
wiley +1 more source
Self-supervised learning with a contrastive VideoMoCo framework for Saudi Arabic sign language recognition using 3D convolutional networks. [PDF]
Rokaya M +4 more
europepmc +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
A Smart Textile-Based Tactile Sensing System for Multi-Channel Sign Language Recognition. [PDF]
Chen K +6 more
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
CASL-W60: A word-level dataset for central African sign language recognition. [PDF]
Lucky M, Youssouf N, Mahmud H, Hasan MK.
europepmc +1 more source
Laser‐assisted synthesis enables rapid (within 1 h) and high‐yield (≥90%) production of Co‐MOFs with mesoporous structures, tunable magnetic and optical properties, and efficient adsorption of N2, CH4, and CO2 for low‐energy gas separation. DFT calculations elucidate the electronic structure and adsorption behavior.
Saliha Mutlu +10 more
wiley +1 more source
Triboelectric Bending Sensors for AI-Enabled Sign Language Recognition. [PDF]
Wang W +7 more
europepmc +1 more source
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani +9 more
wiley +1 more source

