Results 181 to 190 of about 729,502 (283)

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source

SignVLM: a pre-trained large video model for sign language recognition. [PDF]

PeerJ Comput Sci
Luqman H.
europepmc   +1 more source

A Modular Bioinstructive Platform Reveals Mechanistic Insights into Additive‐Free, Topography‐Driven Osteogenesis

Advanced Healthcare Materials, EarlyView.
Engineered microparticle topographies direct human mesenchymal stem cell osteogenesis without biochemical additives. This osteogenic commitment is driven by canonical Hedgehog signaling and followed by temporal IGF‐II engagement. Two‐photon polymerization demonstrates spatial control, enabling the engineering of topographical gradients that pattern ...
Fatmah I. Ghuloum, Leo A. H. Zeef, Lee A. Stevens, Marco A. N. Domingos, Susan J. Kimber, Mahetab H. Amer   +5 more
wiley   +1 more source

Explainable AI for sign language recognition models: Integrating Grad-Cam LIME and Integrated Gradients. [PDF]

PLoS One
El-Qoraychy FZ, Mualla Y, Zhao H, Dridi M, Créput JC, Longo L.   +5 more
europepmc   +1 more source

Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions

Advanced Healthcare Materials, EarlyView.
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi, Naseeh Backer Kannanthodi, Alice Nicole Casling, Babar Ali, Samira Lakouraj Mansouri, Alessandro Giuseppe D'aloia, Hossein Cheraghi Bidsorkhi, Maria Sabrina Sarto   +7 more
wiley   +1 more source

KU-BdSL: An open dataset for Bengali sign language recognition. [PDF]

Data Brief, 2023
Jim AAJ, Rafi I, Akon MZ, Biswas U, Nahid AA.   +4 more
europepmc   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

A deep learning framework for Ethiopian sign language recognition using skeleton-based representation. [PDF]

Sci Rep
Gonfa DK, Meshesha M, Girmaw DW, W/Maryam K.   +3 more
europepmc   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Generative Sign-Description Prompts with Multi-Positive Contrastive Learning for Sign Language Recognition. [PDF]

Sensors (Basel)
Liang S, Li Y, Xin W, Chen H, Liu X, Liu K, Miao Q.   +6 more
europepmc   +1 more source