Denison will debut a new minor in machine learning and artificial intelligence next semester. This program is designed to give students in technical fields a specialized edge in the evolving job ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Real-time fall detection and prediction system using IMU sensors and machine learning algorithms. fall-detection-system/ ├── README.md # Project overview and quick start ├── LICENSE # MIT License ├── ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

Abstract: Automated fall detection enhances the safety of older adults and individuals with health conditions that make them prone to falling. One promising option is based on the detection and ...

Today’s anti-fall technology has come a long way from ‘I’ve fallen and I can’t get up!’ Here’s how it works. By Joyce Cohen Kathy Doyle fell on the street in Manhattan several times over the years.

Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...