Results 261 to 270 of about 1,610,325 (309)
A machine learning-driven web application for sign language learning. [PDF]
Orovwode H, Ibukun O, Abubakar JA.
europepmc +1 more source
Sign language interpretation in health care situations in Flanders [PDF]
Van Herreweghe, Mieke
core
Nano‐Anesthetics Regulate Neuro‐Immune Interaction for Treating Neuropathic Pain
Ce‐UiO‐66‐Bupivacaine (CUB) demonstrates triple therapeutic innovation: 1) Sustained analgesia with ROS scavenging synergistically resolves neuropathic pain; 2) Microglia/astrocyte polarization switch reprograms the pro‐regenerative immune microenvironment; 3) CGRP‐TSP‐1 axis activation couples inflammation suppression to axon regeneration, defining a ...
Yue Wang+9 more
wiley +1 more source
Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. [PDF]
Alabduallah B+3 more
europepmc +1 more source
⁻Inspired by the “brick wall” structure of pearl layer, FLICE‐110% liquid‐free ionic conductive elastomer had high mechanical strength (5.46 MPa), excellent ionic conductivity (3.29 × 10−4 S cm−1) and resilience. It can be used in smart music boxes, airplane wings and control manipulators.
Zequan Li+13 more
wiley +1 more source
A dual‐particle interfacial self‐assembly approach is used to create surface‐accessible Pickering emulsions with Au@Prussian blue nanoparticles acting as the functional component. These emulsions have strong plasmonic properties and are equipped with molecular sieves and internal standards.
Yingrui Zhang+5 more
wiley +1 more source
Video-Based Sign Language Recognition via ResNet and LSTM Network. [PDF]
Huang J, Chouvatut V.
europepmc +1 more source
MOFs are considered a non‐conductive material and combined with biomass carbon materials as microwave absorbing materials, the composite exhibits excellent microwave absorbing performance. Abstract Metal–Organic‐Frameworks (MOFs) are commonly used as microwave‐absorbing materials after pyrolysis treatment.
Guodong Han+10 more
wiley +1 more source
Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster+2 more
wiley +1 more source
Retraction Note: Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network. [PDF]
Pathan RK+5 more
europepmc +1 more source