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 ├── ...

The fall armyworm (Spodoptera frugiperda) poses a significant threat to global maize production owing to its rapid life cycle, extensive host range, and strong dispersal capabilities. We developed a ...

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...

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 ...