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

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hauteur 发表于 2025-3-23 21:36:13

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领巾 发表于 2025-3-24 01:43:07

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唠叨 发表于 2025-3-24 06:05:24

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Defense 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

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Osteons 发表于 2025-3-24 16:56:00

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CLOT 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 1865-0937

cinder 发表于 2025-3-25 00:29:31

Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/232550.jpg
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查看完整版本: Titlebook: Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intel; 4th International Co Suresh Balusamy,