The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
IEEE

Large-Scale EMT Model Examples for High-Share IBR Systems: Using Large-Scale EMT Models for Operations and Planning Power Systems With a High Share of IBRs [Feature]

Abstract: The use of electromagnetic-transient (EMT) models to study the behavior of power systems with high share of inverter-based resource (IBR) systems has become increasingly vital to ensure ...
GitHub

Streaming Apache Iceberg examples using Apache Spark

Streaming Apache Iceberg examples using Apache Spark Apache Kafka has become the de facto standard for building real-time data pipelines, but ingesting and storing large amounts of streaming data in a ...
Journal of Medical Internet Research

Stroke Diagnosis and Prediction Tool Using ChatGLM: Development and Validation Study

Objective: The aim of this study is to develop and validate a stroke diagnosis and prediction tool using ChatGLM-6B, which uses free-text information from electronic health records in conjunction with ...
GitHub

[ECCV 2024] PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training

Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
IEEE

Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis

Abstract: This paper presents a novel non-rigid point set registration method that is inspired by unsupervised clustering analysis. Unlike previous approaches that treat the source and target point ...