Armory 发表于 2025-3-23 12:49:22
Jens Rowold,Andrea Beinicke,Tanja Bippithms like Girvan Newman and graph based modelling techniques to produce the optimal number of surprise connections. This model was tested on real world Twitter based egocentric networks of 156 college students with evidence and survey, showcasing a good performance in surprising users,thereby incre博识 发表于 2025-3-23 16:50:43
http://reply.papertrans.cn/24/2326/232550/232550_12.pnghauteur 发表于 2025-3-23 21:36:13
http://reply.papertrans.cn/24/2326/232550/232550_13.png领巾 发表于 2025-3-24 01:43:07
http://reply.papertrans.cn/24/2326/232550/232550_14.png唠叨 发表于 2025-3-24 06:05:24
http://reply.papertrans.cn/24/2326/232550/232550_15.pngDefense 发表于 2025-3-24 07:19:17
An Evaluation of Convolutional Neural Networks for Malware Family Classificationfic task of malware classification. Comparing the results, Xception Network provided the best performance with an accuracy of 99% and proved to be the fastest network. In terms of training Inception Network was better. Furthermore, individual precision and recall values were calculated for each fami感情 发表于 2025-3-24 13:46:20
http://reply.papertrans.cn/24/2326/232550/232550_17.pngOsteons 发表于 2025-3-24 16:56:00
http://reply.papertrans.cn/24/2326/232550/232550_18.pngCLOT 发表于 2025-3-24 22:55:04
Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intel978-981-15-9700-8Series ISSN 1865-0929 Series E-ISSN 1865-0937cinder 发表于 2025-3-25 00:29:31
Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/232550.jpg