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 ...

Abstract: The proportion of people 60 years old and above is expected to double globally to reach 22 % by 2050. This creates societal challenges such as the increase of age-related illnesses and the ...

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 ├── ...

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.

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

Abstract: The older people are often at high risk of falling because of various factors like the age-related issues which affect their control over muscles or because of weakness due to age. There are ...