Rhythm of Life: Revolutionizing cardiac diagnostics with AI-driven lub-dub analysis
This study leverages machine learning algorithms to analyze "lub-dub" heart sounds from digital stethoscopes, achieving 98% accuracy in detecting abnormal heartbeat-related heart diseases, offering a breakthrough in non-invasive cardiac diagnostics.
Posted by buchanle on Friday, June 20th, 2025 in May 2025, CVDs, Heart sounds, LSTM, Machine learning, MFCC
Real-time Machine Learning Detection of Water Pollution using Convolutional Neural Networks
The following paper aims to explore how machine-learning techniques like Convolutional Neural Networks and MultiLayer Perceptron can be used to leverage real-time monitoring data to provide early warning systems for water pollution events, enabling timely response and intervention.
Posted by buchanle on Tuesday, April 30th, 2024 in May 2024, Machine learning, real-time, Water-Pollution