Results 131 to 140 of about 1,259,818 (372)

Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery

Advanced Materials, EarlyView.
This perspective introduces an artificial intelligence (AI)‐driven nanoarchitectonics framework for targeted drug delivery, combining database‐guided nanocarrier design, machine learning (ML)‐assisted surface engineering with a designed targeting system, and in silico modeling for dynamic optimization.
Hayeon Bae, Hyunsub Ji, Konstantin Konstantinov, Ronald Sluyter, Katsuhiko Ariga, Yong Ho Kim, Jung Ho Kim   +6 more
wiley   +1 more source

Analogue Grammar in the American Sign Language [PDF]

Annual Meeting of the Berkeley Linguistics Society, 2014
Proceedings of the 2nd Annual Meeting of the Berkeley Linguistics Society (1976), pp.
openaire   +3 more sources

Phonological Processes in the American Sign Language [PDF]

Annual Meeting of the Berkeley Linguistics Society, 2014
Proceedings of the First Annual Meeting of the Berkeley Linguistics Society (1975), pp.
openaire   +3 more sources

The perceived mapping between form and meaning in American Sign Language depends on linguistic knowledge and task: evidence from iconicity and transparency judgments

Language and Cognition, 2019
Iconicity is often defined as the resemblance between a form and a given meaning, while transparency is defined as the ability to infer a given meaning based on the form.
Zed Sevcikova Sehyr, K. Emmorey
semanticscholar   +1 more source

Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication

Advanced Materials Technologies, EarlyView.
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
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

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

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 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

Deaf and Hearing American Sign Language-English Bilinguals: Typical Bilingual Language Development. [PDF]

J Deaf Stud Deaf Educ, 2023
Goodwin C, Lillo-Martin D.
europepmc   +1 more source