Results 301 to 310 of about 3,709,601 (369)

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

open access: yesAdvanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov   +8 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

open access: yesAdvanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi   +6 more
wiley   +1 more source

A Lightweight Skin‐Adhesive Fiber Bragg Grating Sensor to Advance Minimally Invasive Healthcare Monitoring

open access: yesAdvanced NanoBiomed Research, EarlyView.
A novel self‐adhesive hydrogel matrix is engineered to embed a fiber Bragg grating sensor for real‐time monitoring of physiological strain signals. The developed system conforms to the skin without external supports and, thanks to the fiber–matrix mechanical coupling, captures both subtle and large‐scale deformations.
Ilaria Condò   +4 more
wiley   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

open access: yesAnalysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi   +3 more
wiley   +1 more source

Rapid Determination of Association Constants using Routine Plate Reader Measurements

open access: yesAnalysis &Sensing, EarlyView.
A high‐throughput plate reader method enables rapid, accurate determination of host–guest binding constants and limits of detection using standard laboratory equipment. The approach is validated across diverse systems and supports machine learning regression, offering a robust analytical tool for supramolecular sensing and quantitative analysis. Though
Austin R. Sartori   +4 more
wiley   +1 more source

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