Results 211 to 220 of about 1,259,818 (372)

Backhand-Approach-Based American Sign Language Words Recognition Using Spatial-Temporal Body Parts and Hand Relationship Patterns. [PDF]

Sensors (Basel), 2022
Chophuk P, Chamnongthai K, Chinnasarn K.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Mixed Methods Study of Hysterectomy in a U.S. Sample of Deaf Women Who Use American Sign Language. [PDF]

Womens Health Rep (New Rochelle), 2021
Jacobs K, Minakawa A, Rao SR, Kushalnagar P.   +3 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Advances in Invertebrate Biohybrid Robotics: Leveraging Nature for Locomotion and Sensing in Engineered Systems

Advanced Intelligent Systems, EarlyView.
This review explores invertebrate biohybrid robots that integrate living organisms—such as insects, jellyfish, spiders, and sea slugs—into robotic systems for locomotion, sensing, and actuation. The advantages in efficiency and cost, discuss control, and power challenges are highlighted, and future considerations to guide the development of sustainable,
Charles J. Fraga, Matticus S. Brown, Nicole W. Xu   +2 more
wiley   +1 more source

Community-Engaged Needs Assessment of Deaf American Sign Language Users in Florida, 2018. [PDF]

Public Health Rep, 2022
James TG, McKee MM, Sullivan MK, Ashton G, Hardy SJ, Santiago Y, Phillips DG, Cheong J.   +7 more
europepmc   +1 more source

Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction

Advanced Intelligent Systems, EarlyView.
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo, Hongda Ren, Yang Zhang, Jianhua Hao   +3 more
wiley   +1 more source

sEMG‐Based Explainable Neural Networks Using Transfer Learning for Intersubject Finger‐Joint‐Angle Estimation

Advanced Intelligent Systems, EarlyView.
Schematic of the proposed method. A K‐nearest‐neighbors clustering‐based pretraining strategy was adopted to ensure similarity between the data used for pretraining and that of a new user. Besides, the proposed method pioneeringly utilized an attention mechanism to learn the relationship between muscles and hand movements for finger‐joint‐angle ...
Zhouping Chen, Hong Wang, Longcheng Ji, Tan Li   +3 more
wiley   +1 more source

An American Sign Language Dictionary Based on the Shape of Hands: A Useful Reference Book [PDF]

, 2011
Kim B. Kurz
openalex   +1 more source

Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model. [PDF]

Sci Rep
Aly M, Fathi IS.
europepmc   +1 more source