Results 71 to 80 of about 44,777 (258)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data

Data in Brief
Sign language is a very important mode of communication among deaf and hard-of-hearing populations. Automatic sign language detection based on deep learning model is the theme of this study.
Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap   +9 more
doaj   +1 more source

As línguas de bilíngues bimodais [PDF]

Linguística, 2016
This paper presents a study about the linguistic behavior of four bimodal bilinguals (two Americans and two Brazilians) who had acquired a sign language at home, a heritage language (American Sign Language – ASL – or Brazilian Sign Language – Libras ...
Ronice Müller de Quadros, Diane Lillo-Martin, Karen Emmorey   +2 more
doaj  

American Sign Language Translator

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Sign language is one of the ancient and most natural form of language for communication. Sign Language is being used by many people in the world, but only a small part of the population knows how to interpret the language. Which makes it tough for the Deaf people to communicate with other people. We used the Tensorflow object detection API in
openaire   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Formal and functional factors in classifier choice: Evidence from American Sign Language and Danish Sign Language

Open Linguistics
Traditionally so-called classifiers in productively formed verbs of motion and location in sign languages are said to reflect the semantic class of the moving or located entity.
Engberg-Pedersen Elisabeth, Brentari Diane K., Davis Jeffery   +2 more
doaj   +1 more source

Étude comparative du lexique des sentiments, des émotions et des activités mentales entre la Langue des Signes Américaine en usage en Côte d’Ivoire et la Langue des Signes de Bouakako (LaSiBo)

Linguistique et Langues Africaines
This article presents a comparative analysis of the lexicon of feelings, emotions, and mental activities in two sign languages: American Sign Language (ASL) used in Côte d’Ivoire and the Bouakako Sign Language (LaSiBo).
Angoua Jean-Jacques Tano, Siesson Amos Diallo   +1 more
doaj   +1 more source

Sign production by first-time hearing signers: a closer look at handshape accuracy

Cadernos de Saúde, 2009
This paper presents phonetic analysis of hand configurations elicited from hearing adults exposed for the first time to signs in American Sign Language.
Deborah Chen Pichler
doaj   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Using Deep Learning Technology for Real-Time Sign Language Detection and Recognition at Public Libraries in Egypt. [PDF]

المجلة العلمية للمكتبات والوثائق والمعلومات
Sign Language is the most expressive way for communication between deaf and hearing-impaired people, where information is majorly conveyed through the hand gestures.
مؤمن سيد
doaj   +1 more source