Abstract: [Purpose] In the research of data mining, anomaly detection algorithms can accurately find samples of abnormal behaviors to achieve the purpose of data mining. the isolation forest algorithm ...

Our planet’s forests are undergoing a transformation that researchers are only now beginning to fully understand. Between 2001 and 2020, scientists tracked dramatic shifts in how forests are managed ...

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...

Forests occupy one third of the total land area of the Earth and hold around 80 per cent of the world’s terrestrial biodiversity. It is estimated that nearly one third of the global population depends ...

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian ...

The need for reliable landscape monitoring tools is growing rapidly with increasing attention and reliance on forests as natural climate solutions. However, none of the leading monitoring tools were ...

Add Yahoo as a preferred source to see more of our stories on Google. Woman missing in forest found dead inside belly of 20-ft python A woman who went missing in Indonesia was found dead inside the ...

The workflow includes data exploration, dimension reduction, and visualization, with the integration of machine learning concepts for advanced analysis. The GitHub repository provides comprehensive ...