IEEE

Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images

Abstract: Accurately and efficiently obtaining crop planting structure information is critical for precision agriculture. However, the current methods for mapping crop planting structure primarily use ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

Forecasting Precipitation and Temperature Evolution Patterns Under Climate Change Using a Random Forest Approach With Seasonal Bias Correction

Abstract: The accurate prediction of climate patterns is crucial for effective environmental management and strategic planning, particularly in the face of increasing climate variability and extreme ...
Hosted on MSN

Python physics lesson 11: Exploring the importance of springs in physics

Welcome to Python Physics Lesson 11, where we explore the importance of springs in physics. This lesson dives into spring mechanics, oscillations, and energy transfer, showing how springs play a ...
unece

Research confirms importance of mosses for detection of pollutants, including microplastics, and ozone impacts on forests in a changing climate

For more than 35 years, the effects of various air pollutants on vegetation and crops have been systematically investigated under the UNECE Convention on Long-range Transboundary Air Pollution. This ...