Traffic detection has attracted much attention in recent years, playing an essential role in intrusion detection systems (IDS).This paper proposes a new approach for traffic detection at the packet level, inspired by natural language processing (NLP), using simple contrastive learning of sentence embeddings (SimCSE) as an embedding model.The new ap
The seasonal cycle of extreme precipitation in Germany is investigated by fitting statistical models to monthly maxima of daily precipitation sums for 2,865 rain gauges.The basis is a non-stationary generalized extreme value (GEV) distribution variation of location and scale parameters.The negative log-likelihood serves as the forecast orly etherea
This study aims to evaluate the precision of nine distinct hyperelastic models using experimental data sourced from the existing literature.These models rely on parameters obtained through curve-fitting functions.The complexity in finite element models of elastomers arises due to their nonlinear, incompressible behaviour.To achieve accurate represe