Results 261 to 270 of about 1,095,590 (399)

Property Optimization of Mn–Ni–Al Oxide Thermistors via an Integrated Framework of Efficient Composition Exploration and Image Analysis

open access: yesAdvanced Materials Interfaces, EarlyView.
In Mn–Ni–Al oxide thermistor materials, we combine efficient composition‐space sampling with convolutional neural networks trained on multimodal Scanning Electron Microscopy – Energy Dispersive X‐ray Spectroscopy (SEM‐EDS) images to construct models predicting resistance and B constant, revealing spinel‐like microstructural regions that control ...
Yo Kato   +8 more
wiley   +1 more source

Biotechnology in the forestry sector [PDF]

open access: yes, 2004
Chaix, Gilles, Monteuuis, Olivier
core  

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek   +7 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang   +5 more
wiley   +1 more source

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