Abstract: Anomaly detection over HTTP traffic has attracted much attention in recent years, which plays a vital role in many domains. This article proposes an efficient machine learning approach to ...

Abstract: The characteristics of seabed types are of great importance for understanding the marine environment and the changes taking place there, spatial planning, seabed investments, and natural ...

Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Although there have been significant strides in understanding the underlying mechanisms of HF, ...

Early identification of infants with necrotizing enterocolitis (NEC) at risk of surgery is essential for an effective treatment. This study aims to clarify the risk factors of surgical NEC and ...

Transformer-based models have revolutionized natural language processing. Models like GPT-4, BERT, and T5 dominate NLP applications in 2024, powering language translation, text summarization, and ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

This cross-sectional study was conducted between June 2011 and January 2012. The participants were randomly selected using a simple random sampling technique. Seven commonly used machine learning ...