Live Science

'Nitrogen fixing' trees could help tropical forests bounce back, research suggests

On the narrow isthmus of Panama, scientists discovered adding nitrogen to the soil doubled tree growth, providing new ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Financial Time Series Forecasting Analysis Based on Gradient Boosting Decision Tree Modeling

Abstract: The aim of this study is to investigate the application of Gradient Boosted Decision Tree (GBDT) model in time series forecasting in financial markets and its effectiveness. The complexity ...
IEEE

Evaluating Gradient Boosting Algorithms for Water Quality Prediction: Insights from XGBoost, LightGBM, and CatBoost

Abstract: Water is the elixir for all forms of life but increasingly being contaminated at an alarming level posing serious threats to humans and entire ecosystem. Contaminated water leads to ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...
Scientific Research Publishing

Chen, T. and Guestrin, C. (2016) XGBoost: A Scalable Tree Boosting System.

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...