Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Abstract: Precise dynamic model calibration is essential in achieving reliable control of unmanned aerial vehicles (UAVs). However, the existing methods tend to use simplified dynamic models and ...
Discover Hotelling's Theory, which explains how owners of nonrenewable resources decide whether to extract and sell based on future price predictions and interest rates.
A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge ...
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