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Titlebook: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities; Sanjay Misra,Amit Kumar Tyagi Book 202

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樓主: Embolism
41#
發(fā)表于 2025-3-28 18:05:06 | 只看該作者
Blockchain-Enabled Verification System,vices are utilized through a proxy contract that handles all calls directed to it. We believe that this system is a gateway towards secure and transparent verification that, in the FIN4 setting, has the potential of creating a positive impact in the world.
42#
發(fā)表于 2025-3-28 20:16:45 | 只看該作者
Sanjay Misra,Amit Kumar TyagiPresents recent research on Artificial Intelligence for Cyber Security.Conducts analyses, implementation, and discussion of many tools of Artificial Intelligence, Machine Learning, Deep Learning, and
43#
發(fā)表于 2025-3-29 02:09:42 | 只看該作者
44#
發(fā)表于 2025-3-29 05:37:07 | 只看該作者
45#
發(fā)表于 2025-3-29 09:13:14 | 只看該作者
46#
發(fā)表于 2025-3-29 12:59:36 | 只看該作者
Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities978-3-030-72236-4Series ISSN 1860-949X Series E-ISSN 1860-9503
47#
發(fā)表于 2025-3-29 19:04:58 | 只看該作者
48#
發(fā)表于 2025-3-29 23:19:28 | 只看該作者
Failure to Thrive and Malnutritionide predictions between ham and spam mails. These algorithms predict a class based on the probability estimated from the features of the particular class label. The classifier performance gets degraded if there are large number of features with complex distributions and limited data instances. This
49#
發(fā)表于 2025-3-30 02:00:28 | 只看該作者
https://doi.org/10.1007/978-3-031-34013-0ting realistic fake biometric data that may mitigate some of the privacy concerns with using real biometric data. This paper trains a Deep Convolutional Generative Adversarial Network (DCGAN) to generate fake biometric fingerprint images. The quality of the generated images is measured using the NFI
50#
發(fā)表于 2025-3-30 04:42:27 | 只看該作者
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