为加强对地震台网记录的天然地震与人工爆破事件进行准确的性质识别, 本文基于深度学习技术
中的残差网络模型, 提出了一种新的爆破识别方法, 并根据北京数字遥测地震台网及国家数字测 …

In order to enhance the property identification of earthquakes and explosions recorded by
seismic network, this paper proposed a new technology of explosion discrimination based …

摘要深度学习善于从原始数据输入中挖掘其内在的抽象特征, 十余年来, 其在语音识别,
语义分析, 图像分析等领域取得了巨大成功, 也大大推动了人工智能的发展. 本文基于深度学习中 …

Machine learning enables machines to learn rules from a large amount of data input from
the outside world through algorithms, so as to identify and judge. It is the main task of the …

Specific emitter identification is a challenge in the field of radar signal processing. Its aims to
extract individual fingerprint features of the signal. However, early works are all designed …

Due to its development agility, continuous delivery, scalability and other characteristics, the
microservice architecture systems (MASs) have provided complex business functions to …

摘要互联网和移动互联网中的信息内容急速膨胀, 导致其中充斥着违法违规和不良信息,
影响互联网空间的内容安全. 基于敏感词匹配的传统文本内容安全识别方法忽略上下文语义 …