Underground mining is going to be deeper gradually because near surface computer spinner resources are going to be depleted.Therefore, risk of seismic events in underground mines is escalating.Additionally, existence of the large ratio of horizontal to vertical stress, could be a potential reason for high-stress condition and occurrence of dynamic

The prevalence of insurance fraud in the auto industry poses significant financial challenges and undermines customer trust.Despite the application of machine learning methods to reduce these Girls Bucket Hats losses, current literature lacks effective tuned algorithms for detecting fraud in insurance claims.To address this gap, this study proposes

BackgroundDigital proximity tracing (DPT) aims to complement manual contact tracing (MCT) in identifying exposed contacts and preventing further transmission of SARS-CoV-2 in the population.Although several DPT apps, including SwissCovid, have shown to have promising effects on mitigating the pandemic, several challenges have impeded them from full

Abstract In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming process within honeybee colonies, using vibro-acoustic information.Two machine learning algorithms are presented for the prediction of swarming, based on vibration data recorded using accelerometers placed in the heart of honeybee hives.Both a

This paper presents an analysis of trends and causes of changes of selected hydroclimatic variables influencing the Girls Bucket Hats runoff regime in the upper Hron River basin (Slovakia).Different methods for identifying trends in data series are evaluated and include: simple mass curve analysis, linear regression, frequency analysis of flood eve