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, Aprons inspired by natural language processing (NLP), using simple contrastive learning of sentence embeddings (SimCSE) as an embedding model.The
Plant and Native Microorganisms Amplify the Positive Effects of Microbial Inoculant
Microbial inoculants can be used to restore abandoned mines because of their positive effects on plant growth and soil nutrients.Currently, soils in greenhouse pot studies are routinely sterilized to eradicate microorganisms, allowing for better inoculant colonization.Large-scale field sterilization of abandoned mining site soils for restoration is
Importance of Small Forest Fragments in Agricultural Landscapes for Maintaining Orangutan Metapopulations
Historically, orangutans (Pongo spp.) lived in large contiguous areas of intact rainforest.Today, they are also found in highly modified and fragmented landscapes dominated by oil palm or industrial timber plantations; a situation that calls for new conservation approaches.Here Curtain we report signs of orangutan presence in more than 120 small fo
Evaluation Metrics Research for Explainable Artificial Intelligence Global Methods Using Synthetic Data
In recent years, artificial intelligence technologies have been developing more and more rapidly, and a Curtain lot of research is aimed at solving the problem of explainable artificial intelligence.Various XAI methods are being developed to allow the user to understand the logic of how machine learning models work, and in order to compare the meth