Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

AI boosts bird sound identification accuracy

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
GitHub

Synergistic Learning for Active Learning: A Unified Training Strategy to Boost Sampling in Medical Image Classification

Synergistic Learning for Active Learning: A Unified Training Strategy to Boost Sampling in Medical Image Classification This is a code base for deep active learning for image classification written in ...
IEEE

A Deep Learning Assisted Crop Pest Classification Model by Using Enhanced Light Gradient Boost Machine (ELGBM) Logics

Abstract: Many different kinds of pests and insects impede the development of vital field crops including wheat, sugarcane, and rice, and they also diminish agricultural yields. Due to their similar ...
IEEE

Efficient Classification of Animal Health Conditions Using Gradient Boosting Machine-Based Models

Animal health problems must be found quickly and correctly in order to improve general care, control, and disease avoidance. In fields like cattle farming, veterinary medicine, and wildlife protection ...