面对海量地震资料, 自动准确地拾取震相并确定其到时的需求非常迫切. 基于支持向量机技术,
本文提出了使用两个分类器SSD 和SPS 自动识别地震体波震相并自动拾取其到时的方法 …

Cyber attacks are becoming more sophisticated and, hence, more difficult to detect. Using
efficient and effective machine learning techniques to detect network anomalies and …

The Border Gateway Protocol (BGP) coordinates the connectivity and reachability among
Autonomous Systems, providing efficient operation of the global Internet. Historically, BGP …

The Earth's atmospheric interface is highly vulnerable to anthropogenic aerosol pollution
and changes caused by numerous industrial and allied sectors. The boundary layer aerosol …

Deep-learning initiatives have vastly changed the analysis of data. Complex networks
became accessible to anyone in any research area. In this paper we are proposing a deep …

Facing massive seismic data, it is urgent to automatically detect earthquakes and determine
their arrival times accurately. Based on the support vector machine technology, we …

Abstract The Border Gateway Protocol (BGP), acting as the communication protocol that
binds the Internet, remains vulnerable despite Internet security advancements. This is not …

Aiming at the problem of BGP anomalies, a support vector machine-based BGP anomaly
detection method (SVM-BGPAD) is proposed. We first employ feature selection algorithm …

Detecting anomalies and intrusions in communication networks is of great interest in cyber
security. In this paper, we use Support Vector Machine (SVM) and Broad Learning System …

Introduction: Highlighting and assessing land cover changes in a heterogeneous landscape,
such as those with surface mining activities, allows for understanding the dynamics and …