ahajournals.org

Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing

Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exercise testing, is a prognostic indicator. We aim to predict peak oxygen uptake from submaximal variables on ...
GitHub

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models

This repository is the official implementation of the paper RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the OpenMMLab codebase. The ...
eLife

A general framework for characterizing optimal communication in brain networks

The authors provide a compelling method for characterizing communication within brain networks. The study engages important, biologically pertinent, concerns related to the balance of dynamics and ...
GitHub

DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding

This repository contains the official implementation of the paper DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding, developed based on the OpenMMLab ...
C&EN

Interpretable AI and Machine Learning Classification for Identifying High-Efficiency Donor–Acceptor Pairs in Organic Solar Cells

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. To enhance the efficiency of organic solar cells, accurately predicting the efficiency ...
Frontiers

Predicting risk of obesity in overweight adults using interpretable machine learning algorithms

This cross-sectional study was conducted between June 2011 and January 2012. The participants were randomly selected using a simple random sampling technique. Seven commonly used machine learning ...