Results 301 to 310 of about 3,265,453 (375)

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

Advanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin, Lei Wang, Shanjun Wu, Jiewei Jiang, Wei Qiang, Yangyang Wang, Shihong Wang, Yi Shao, Wei Chen, Zhongwen Li   +9 more
wiley   +1 more source

Do They Know It's Christmash? Lexical Knowledge Directly Impacts Speech Perception. [PDF]

Cogn Sci
Luthra S, Crinnion AM, Saltzman D, Magnuson JS.   +3 more
europepmc   +1 more source

A Fuzzy Risk Assessment Approach Based on Z‐Numbers for Enhancing Safety and Human‐Robot Collaboration in Automotive Sector

Advanced Intelligent Systems, EarlyView.
A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley   +1 more source

Evaluating speech-in-speech perception via a humanoid robot. [PDF]

Front Neurosci
Meyer L, Araiza-Illan G, Rachman L, Gaudrain E, Başkent D.   +4 more
europepmc   +1 more source

Integration of segmental and tonal information in speech perception: a cross-linguistic study

, 1990
Bruno H. Repp, Hwei-Bing Lin
openalex   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

Advanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen, Ge Wang, Xiao Luo, Lei Liang, Fan Yang, Xuemei Wang, Qiui Zhang, Jiangang Chen, Qing Liu, Fucai Liu   +9 more
wiley   +1 more source

Impact of Reverberation on Speech Perception in Noise in Bimodal/Bilateral Cochlear Implant Users with and without Residual Hearing. [PDF]

J Clin Med
König C, Baumann U, Stöver T, Weissgerber T.   +3 more
europepmc   +1 more source

End‐to‐End Attention‐Enhanced Transformer for Image Captioning in Biomimetic Wearable Devices

Advanced Intelligent Systems, EarlyView.
This work proposes an attention‐enhanced transformer for image captioning, improving multiregion feature representation and future‐context decoding, achieving 2.1 CIDEr gain and real‐time performance on wearables with low memory and power, ideal for edge deployment in biomimetic visual assistance.
Yongyang Yin, Hengyu Cao, Jun Lin
wiley   +1 more source

The diversity of speech-perception difficulties among autistic individuals. [PDF]

Autism Dev Lang Impair
Bendo GJ, Sturrock A, Hanks G, Plack CJ, Gowen E, Guest H.   +5 more
europepmc   +1 more source

Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition

Advanced Intelligent Systems, EarlyView.
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu, Jinpeng Wang, Can Wang, Linlin Xia, Jie Wang   +4 more
wiley   +1 more source