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Titlebook: Advances in Computational Intelligence and Informatics; Proceedings of ICACI Raghavendra Rao Chillarige,Salvatore Distefano,San Conference

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樓主: Assert
31#
發(fā)表于 2025-3-26 23:29:02 | 只看該作者
Simulation und Warteschlangensysteme, This article lists several remote organization security assessments. These measures include FPR, FNR, discovery precision, throughput, latency, energy use, and adaptability. The overview discusses how these measurements can evaluate security conventions’ presentation and sufficiency.
32#
發(fā)表于 2025-3-27 04:05:00 | 只看該作者
Grundlagen linearer Optimierung,ical framework that balances innovation and individual rights, emphasizing the need for ongoing dialogue and policy considerations. Ultimately, this paper aims to foster a harmonious coexistence between ethics and innovation in the expanding domain of big data.
33#
發(fā)表于 2025-3-27 06:42:51 | 只看該作者
IDSSA: An Intrusion Detection System with Self-adaptive Capabilities for Strengthening the IoT Netwn rules, identifying novel and sophisticated attacks beyond traditional signature-based systems. With an “IoT Contextual Analyzer” to reduce false positives, the self-adaptive IDS improves against emerging threats autonomously, outperforming static systems in detecting known and zero-day attacks, securing IoT networks efficiently.
34#
發(fā)表于 2025-3-27 10:17:00 | 只看該作者
35#
發(fā)表于 2025-3-27 13:55:53 | 只看該作者
A Model for Quality Management in Industrial Products Based on Machine Learning and Image Processingital cameras and various communication interfaces. Manufacturers place the highest attention on ensuring quality. Component identification during manufacturing flow must be possible with machines that can use computer vision effectively. In this paper, we present an industrial image-based processing quality management system.
36#
發(fā)表于 2025-3-27 17:54:27 | 只看該作者
Exploring the State of the Art in Mobile Agent Computing: A Comparative Study of Adaptive Fault Tolnt, secure, transactional, and multicore-enabled mobile agent systems. The findings contribute to the advancement of mobile agent computing by offering a comprehensive understanding of the state of the art in these key areas.
37#
發(fā)表于 2025-3-27 21:57:39 | 只看該作者
Water Pumping Requirement Prediction in Irrigation System Using Internet of Things-Assisted Machinented using 1 and 0, respectively. This work is carried out using cross-validation (CRV) by taking the number of folds (NFL) as 3, 5, and 10. These models are evaluated using classification accuracy (CA). This work is implemented using Python-based Orange 3.32.0.
38#
發(fā)表于 2025-3-28 03:29:39 | 只看該作者
39#
發(fā)表于 2025-3-28 09:03:36 | 只看該作者
,Big Data’s Ethical Frontier: Addressing Concerns in Data Acquisition and Analysis,ical framework that balances innovation and individual rights, emphasizing the need for ongoing dialogue and policy considerations. Ultimately, this paper aims to foster a harmonious coexistence between ethics and innovation in the expanding domain of big data.
40#
發(fā)表于 2025-3-28 12:05:04 | 只看該作者
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