A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A research team has developed a method for improving crop growth monitoring by accurately estimating the fraction of absorbed ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

Objectives Although menstrual cups have a long history and numerous benefits, many women of reproductive age remain unaware. This study assessed the knowledge, attitude and use regarding menstrual ...