Results 251 to 260 of about 3,188,697 (327)

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

open access: yesAdvanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang   +5 more
wiley   +1 more source

The FAIIR conversational AI agent assistant for youth mental health service provision. [PDF]

open access: yesNPJ Digit Med
Obadinma S   +9 more
europepmc   +1 more source

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem   +5 more
wiley   +1 more source

Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen   +4 more
wiley   +1 more source

Flight of the Future: An Experimental Analysis of Event‐Based Vision for Online Perception Onboard Flapping‐Wing Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
A thorough analysis of event‐based vision for flapping‐wing robots is presented, with emphasis on hardware integration, suitability under challenging flight conditions, and real‐time performance. Theoretical and experimental studies demonstrate how these sensors enable robust and efficient onboard perception for ornithopters, thereby advancing autonomy
Raul Tapia   +5 more
wiley   +1 more source

Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a method to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force applied in the tactile sensing process. In offline and real‐time experiments, these representations improve classification accuracy, computational efficiency, and the ability to identify textures
Mark M. Iskarous   +9 more
wiley   +1 more source

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