Results 131 to 140 of about 28,042 (292)

Flexible artificial Si-In-Zn-O/ion gel synapse and its application to sensory-neuromorphic system for sign language translation. [PDF]

Sci Adv, 2021
Oh S, Cho JI, Lee BH, Seo S, Lee JH, Choo H, Heo K, Lee SY, Park JH, Park JH.   +9 more
europepmc   +1 more source

Lipid Nanoparticle Co‐Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy

Advanced Materials, EarlyView.
Co‐encapsulation of p53 mRNA and the small molecule ciclopirox within a lipid nanoparticle yields an all‐in‐one chemoimmunotherapy for oral squamous cell carcinoma. The platform engages caspase‐driven apoptosis in cancer cells while repolarizing tumor‐associated macrophages, achieving tumor reduction in both p53‐susceptible and p53‐resistant models and
Marshall S. Padilla, Jacqueline J. Li, Qunzhou Zhang, Korey Patwari, Shihong Shi, Hannah M. Yamagata, Ryann A. Joseph, Briyanna N. Hymms, Sridatta V. Teerdhala, Emily Fitzgerald, Ori Z. Chalom, Kushol Gupta, Mohamad‐Gabriel Alameh, Drew Weissman, Anh D. Le, Michael J. Mitchell   +15 more
wiley   +1 more source

Modelling of basic Indonesian Sign Language translator based on Raspberry Pi technology

Научно-технический вестник информационных технологий, механики и оптики
Deaf people have hearing loss from mild to very severe. Such people have difficulty processing language information both with and without hearing aids. Deaf people who do not use hearing aids use sign language in their everyday conversations. At the same
U. Fadlilah, R.A.R. Prasetyo, A.K. Mahamad, B. Handaga, Sh. Saon, E. Sudarmilah   +5 more
doaj   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

New approaches for professional training of Sign Language interprets [PDF]

, 2010
У статті розкрито організаційні умови надання освітніх ліцензійних послуг у сфері професійно-технічної освіти для перекладачів жестової мови на базі Навчально-відновлювального центру Українського товариства глухих.
Чепчина, І.І.
core  

Adaptive Transformer-Based Deep Learning Framework for Continuous Sign Language Recognition and Translation

Mathematics
Sign language recognition and translation remain pivotal for facilitating communication among the deaf and hearing communities. However, end-to-end sign language translation (SLT) faces major challenges, including weak temporal correspondence between ...
Yahia Said, Sahbi Boubaker, Saleh M. Altowaijri, Ahmed A. Alsheikhy, Mohamed Atri   +4 more
doaj   +1 more source

Unsupervised Sign Language Translation and Generation

Findings of the Association for Computational Linguistics ACL 2024
Motivated by the success of unsupervised neural machine translation (UNMT), we introduce an unsupervised sign language translation and generation network (USLNet), which learns from abundant single-modality (text and video) data without parallel sign language data.
Zhengsheng Guo, Zhiwei He 0002, Wenxiang Jiao, Xing Wang 0007, Rui Wang 0015, Kehai Chen, Zhaopeng Tu, Yong Xu 0001, Min Zhang 0005   +8 more
openaire   +2 more sources

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source