Results 191 to 200 of about 40,432 (289)
An explainable hybrid CNN-transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation. [PDF]
Lamaakal I +4 more
europepmc +1 more source
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 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
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 deep learning-based method combines manual and non-manual features for sign language recognition. [PDF]
Harrouch H +3 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
A novel model for expanding horizons in sign Language recognition. [PDF]
Hassan E +3 more
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
SignVLM: a pre-trained large video model for sign language recognition. [PDF]
Luqman H.
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

