Results 101 to 110 of about 1,050,721 (299)

The Space Within: How Architected Voids Promote Tissue Formation

Advanced Materials, EarlyView.
This review explores the role of void spaces in tissue engineering scaffolds and examines four key methods for introducing porosity into hydrogels at different scales. It discusses sacrificial templating, microgels, phase separation, and 3D printing, highlighting principles, advantages, and limitations. It also addresses emerging strategies integrating
Anna Puiggalí‐Jou, Isabel B. Hui, Carla Fernandez‐Rico, Marcy Zenobi‐Wong   +3 more
wiley   +1 more source

A novel model for expanding horizons in sign Language recognition

Scientific Reports
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik   +3 more
doaj   +1 more source

American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach

Sensors, 2018
Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
doaj   +1 more source

American Sign Language Alphabet Recognition using Deep Learning

, 2019
Tremendous headway has been made in the field of 3D hand pose estimation but the 3D depth cameras are usually inaccessible. We propose a model to recognize American Sign Language alphabet from RGB images.
Bidani, Shiv, Dennisan, Dr. Aju, Kasukurthi, Nikhil, Rokad, Brij   +3 more
core  

American sign language level 1 assessment: What is out there?

, 2023
Beverly J. Buchanan, John S. Pirone, Kimberly K. Pudans‐Smith, Brian W. Leffler, Brad Cohen, P. Simmons, Pauline M. Ballentine, Tabitha Venable, Karen Soza   +8 more
openalex   +1 more source

Biological and Biologically Inspired Functional Nanostructures: Insights into Structural, Optical, Thermal, and Sensing Applications

Advanced Materials, EarlyView.
Biological and biologically‐inspired functional nanostructures with structural, thermal, optical, and sensing applications are reviewed. The role of nanoscale features in biological materials on performance is described, and their blueprints are used for bio‐inspired nanomaterials, synthesized using advanced techniques (i.e., photolithography, bio ...
Chao Hsuan (Joseph) Sung, Taige Hao, Herry Fang, Andrew Tran Nguyen, Valentina Perricone, Haitao Yu, Wei Huang, Ezra Sarmiento, Adrian Francisco Duran Ornelas, Derek Lublin, Ric Wehling, Sanaz Farajollahi, Atsushi Arakaki, Dhriti Nepal, Nathan Patrick Lord, David Kisailus   +15 more
wiley   +1 more source

Choice of handshape and classifier type in placement verbs in American Sign Language

Open Linguistics
This study investigates choice of classifier handshape in the placement verbs MOVE and PUT in American Sign Language (ASL), analyzing data from two deaf ASL signers describing placement events elicited via a semi-structured task.
Frederiksen Anne Therese
doaj   +1 more source

Advanced Capsule Networks via Context Awareness

, 2019
Capsule Networks (CN) offer new architectures for Deep Learning (DL) community. Though its effectiveness has been demonstrated in MNIST and smallNORB datasets, the networks still face challenges in other datasets for images with distinct contexts.
Phong, Nguyen Huu, Ribeiro, Bernardete
core   +1 more source

Audibly: Speech to American Sign Language converter [PDF]

, 2022
Liju Thomas
openalex   +1 more source

Sustainable Liquid Metal Composites for Soft Electronics and E‐Waste Reduction

Advanced Materials, EarlyView.
Liquid metal (LM) composites embody recyclability, repairability, renewability, and resilience (4R), offering a sustainable route for soft electronics. With exceptional conductivity, stretchability, and eco‐friendly recovery, these systems enable closed‐loop lifecycles and reduce e‐waste.
Abdollah Hajalilou, Elahe Parvini, Carmel Majidi   +2 more
wiley   +1 more source