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Titlebook: Computer Networks and Inventive Communication Technologies; Proceedings of Fourt S. Smys,Robert Bestak,Ivan Kotuliak Conference proceedings

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楼主: Fillmore
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Machine Learning-Based Network Intrusion Detection System,eans Clustering, KNN, Decision tree, Logistic Regression, and Random Forest for the detection of malicious attacks based on their detection accuracies and precision score. A detailed analysis of the network traffic features and the experimental results reveal that Logistic Regression provides the most accurate results.
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Die Haftung des Testamentsvollstreckers,, so a number of laps are required to collect data from all sensors. In this paper, the Models proposed can eradicate such problems by using MS as a means of connectivity, which will connect sensors and the station.
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,Die Vergütung des Testamentsvollstreckers, APIs like speechrecognition, pyspeech, Google Cloud Speech API, etc., to extract text and then use summarisation techniques to present the most accurate summary and convert it back to audio format so that the news is more accessible for the visually impaired.
发表于 2025-3-28 00:46:55 | 显示全部楼层
Die Annahme des Testamentsvollstreckeramtes,inal and expanded dataset, respectively. While, AlexNet, VGG16, and Inception V3 have achieved 93.78%, 95.49%, and 96.67% accuracy for the expanded dataset, respectively. The obtained results validate that BGCNN can recognize yellow mosaic disease efficiently.
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Testing Component-Based Systems Using FSMsproposed for verification of a dealer, namely multipartite verifiable secret sharing based on CRT by using Iften, and multipartite verifiable secret sharing-based CRT by using kameer Kaya. Both proposed schemes are perfectly secure, and the security of both the schemes dependent on discrete logarithm problem.
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Efficient Data Collection in Wireless Sensor Network,, so a number of laps are required to collect data from all sensors. In this paper, the Models proposed can eradicate such problems by using MS as a means of connectivity, which will connect sensors and the station.
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