Detection of intrusions in Internet Things networks is essential to maintain the availability and integrity data generated transmitted by connected devices. Such a procedure paramount when originate from critical activities, such as military, financial, industrial, health sectors. In last decades, machine learning (ML)-based approaches have become one most suitable adopted procedures for task, ...

Sand production is a universally encountered issue during the exploration of unconsolidated sandstone reservoirs particularly during production. The production of sand particles with the reservoir fluids depends on the stress around a wellbore and the properties of the reservoir rocks and fluids. Therefore, it is crucial to predict under what production conditions sanding will occur and when sa...

Slope instability can lead to catastrophic consequences. However, predicting slope stability effectively is still challenging because of the complex mechanisms and multiple influencing factors. In recent years, machine learning (ML) has received great attention in prediction due its strong nonlinear ability. this study, an optimum-path forest algorithm based on k-nearest neighbor (OPFk-NN) was ...