The detection of hidden explosives in suitcases, cargo, mail, vehicles, aircraft, and on personnel is a major analytical problem that requires highly sensitive and specific methods for its solution.
对于在手提箱、货物、邮件、车辆、飞机中的和个人随身携带的隐藏爆炸物的检测主要是一个分析问题，它要求灵敏度高和方法精确。
An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.
提出了一种基于带泄漏的积分触发测量方法的电予邮件蠕虫异常检测方法，用来检测邮件蠕虫在传播过程中的流量异常。
An Email flow anomaly detection method based on leaky integrate-and-fire model was presented for detecting flow anomaly in the process of mail worm propagation.
提出了一种基于带泄漏的积分触发测量方法的电予邮件蠕虫异常检测方法，用来检测邮件蠕虫在传播过程中的流量异常。
应用推荐