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Found 5 papers, 1 papers with code
A Data-driven Approach for Rapid Detection of Aeroelastic Modes from Flutter Flight Test Based on Limited Sensor Measurements
The anonymized flutter flight test data, provided by the fifth author of this research paper, is utilized in this implementation.
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality of life.
Exploring Multimodal Large Language Models for Radiology Report Error-checking
This paper proposes one of the first clinical applications of multimodal large language models (LLMs) as an assistant for radiologists to check errors in their reports.
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors
This variation is seen in the CXR projections used, image annotations added and in the inspiratory effort and degree of rotation of clinical images.
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
In order to increase the width of network and enrich representation of features, the inception blocks with dilation are adopted.
