Results 201 to 210 of about 1,606,386 (353)

A multistream attention based neural network for visual speech recognition and sign language understanding. [PDF]

Sci Rep
Talaat FM, Hassan BM.
europepmc   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Towards a Lightweight Arabic Sign Language Translation System. [PDF]

Sensors (Basel)
Algabri M, Mekhtiche MA, Bencherif MA, Saeed F.   +3 more
europepmc   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

LSC-54: A landmark-based dataset for colombian sign language. [PDF]

Data Brief
Mora-Zarate JE, Garzón-Castro CL, Castellanos-Rivillas JA.   +2 more
europepmc   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

Advanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu, Yu‐Tao Li, Luyu Zhao, Yi Zhang, Zhaojie Zhang, Jian Yuan, Yiwen Wu, Anqi Che, Yuanxiao Ma, Yang Chai, Yeliang Wang   +10 more
wiley   +1 more source

Innovation Meets Accessibility in Melt Electrowriting 3D Printer Design: Continuous Process Monitoring and Automation via Modular Software and Hardware

Advanced Materials Technologies, EarlyView.
This manuscript describes the design and validation of an innovative melt electrowriting printer. With a turntable collector and modular software architecture, it unifies previous advanced MEW printer capabilities and enhances adaptability for a wide range of research applications.
Timo Baroth, Tim R. Dargaville, Paul D. Dalton, Dietmar W. Hutmacher   +3 more
wiley   +1 more source

Unveiling Complementary Unipolar Electrical Transport in ZnO‐Co3O4 Core–Shell Nanowires Exploiting Iontronics

Advanced Materials Technologies, EarlyView.
Complementary unipolar electrical transport is demonstrated in ZnO‐Co3O4 core–shell nanowires, by engineering multi‐terminal device architectures that allow to selectively address different sections of the nanostructure and resorting on ionic liquid gating for conformal capacitive coupling and field effect control.
Valeria Demontis, Mojtaba Gilzad Kohan, Luca Nappi, Maria Jesus Rodriguez Douton, Alberto Vomiero, Francesco Rossella   +5 more
wiley   +1 more source

3D Microprinting of Structures with Lanthanide‐Based Fluorophores on Optical Fibers for Multiplexed Sensing

Advanced Optical Materials, EarlyView.
Incorporating lanthanide‐based fluorophores into commercial resists for femtosecond direct laser writing enables a novel platform for multiplexed sensing. Porous, periodic, and solid luminescent microstructures fabricated directly on optical fiber tips are presented.
Valese Aslani, Shaghayegh Baghapour, Stephen C. Warren‐Smith, Wenqi Zhang, Esmat Ebadati, Sally E. Plush, Alois M. Herkommer, Andrea Toulouse, Shahraam Afshar V.   +8 more
wiley   +1 more source

A deep learning-based method combines manual and non-manual features for sign language recognition. [PDF]

Sci Rep
Harrouch H, Trabelsi L, Jebali M, Gammoudi O.   +3 more
europepmc   +1 more source