Results 231 to 240 of about 1,130,230 (358)

Mimicking Life: Autonomous Oscillating Artificial Cilia Driven by Chemical Power

open access: yesAdvanced Intelligent Systems, EarlyView.
The synthesis and motion analysis of chemically actuated, individually autonomous artificial cilia are presented. Driven by an internal chemical reaction, the self‐driven individual cilia require no external stimuli. They undergo periodic oscillatory motion with a 3D beat pattern and exhibit chemotactic shifts, reminiscent of biological systems.
Rajata Suvra Chakrovorty   +2 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

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

Is the superior septal approach a safe alternative to conventional left atriotomy for mitral valve surgery? Evidence from a systematic review and meta-analysis. [PDF]

open access: yesBMC Cardiovasc Disord
Maali A   +7 more
europepmc   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao   +3 more
wiley   +1 more source

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