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Akademický článek

Deep visualization classification method for malicious code based on Ngram-TFIDF

Autor: WANG Jinwei, CHEN Zhengjia, XIE Xue, LUO Xiangyang, MA Bin

Publikováno v: Tongxin xuebao, Vol 45, Pp 160-175 (2024)

With the continuous increase in the scale and variety of malware, traditional malware analysis methods, which relied on manual feature extraction, become time-consuming and error-prone, rendering them unsuitable. To improve detection efficiency and a

Externí odkaz: https://doaj.org/article/8c3796462a584fe5a0d5758d8c9dc125

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Akademický článek

Risk Assessment of Urban Water-Logging Disaster Based on Weight-improved AHP Method-Taking Haojiang District of Shantou City as an Example

Autor: ZHOU Jiaqi, LIN Kairong, XIE Xue, CHEN Haiyan, GAO Xin

Publikováno v: Renmin Zhujiang, Vol 42 (2021)

Under the background of global climate change,the frequency of extreme rainfall events increases,and the urban water-logging disaster occurs frequently.The risk assessment of water-logging disaster can effectively reduce the loss.Taking Haojiang Dist

Externí odkaz: https://doaj.org/article/10562044eadc4578b2b3e3524cba3f57

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