Results 201 to 210 of about 12,249,170 (324)
Advanced Intelligent Systems, EarlyView.This study introduces a framework to monolithically 3D print highly bioinspired hands, composed of soft and stiff segments, using cost‐effective desktop printers. A magnetic resonance imaging‐informed approach replicates key anatomical features, such as collateral ligaments and volar plates, enabling enhanced functionality and human‐like behavior. This
Gianni Stano +5 more
wiley +1 more source
Viable Design of an Arm Prosthesis System
, 2014 Osama M. Al-Habahbeh +3 more
openalex +1 more source
Reliability-based design algorithm for artificially replaced hip prosthesis considering material property uncertainty [PDF]
, 2018 Kharmanda Ghias, Antypas Imad Rezakalla
openalex +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 +3 more
wiley +1 more source
Stimulator design of retinal prosthesis
Stimulator design of retinal prosthesisidentifier:oai:t2r2.star.titech.ac.jp ...
openaire
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Advanced Intelligent Systems, EarlyView.Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source