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Titlebook: Cyber Security Intelligence and Analytics; The 5th Internationa Zheng Xu,Saed Alrabaee,Nurul Hidayah Ab Rahman Conference proceedings 2023

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樓主: 浮淺
41#
發(fā)表于 2025-3-28 16:45:59 | 只看該作者
Big Data Technology Driven 5G Network Optimization Analysis, digital transformation of production infrastructure and social infrastructure based on 5G networks is enabling technologies and applications such as big data, cloud computing and the Internet of Things to move from the conceptual to the practical, from the abstract to the concrete. There is a growi
42#
發(fā)表于 2025-3-28 19:52:25 | 只看該作者
An Enterprise Financial Statement Identification Method Based on Support Vector Machine,on, it is easy to have the problem of large report volume, reduce the accuracy of report identification, and even lose report data. This paper proposes a support vector machine method to identify report recognition and comprehensively shorten the report recognition time. Unusual declarations and fin
43#
發(fā)表于 2025-3-29 00:29:30 | 只看該作者
44#
發(fā)表于 2025-3-29 06:40:37 | 只看該作者
45#
發(fā)表于 2025-3-29 10:32:11 | 只看該作者
Network Lossless Information Hiding Communication Method Based on Big Data,ential information can be transmitted without being noticed, which greatly improves the security of the information security system. Based on the study of the dissemination of large data information, this paper reasonably analyses the feasibility of transmitting information without loss from two asp
46#
發(fā)表于 2025-3-29 12:45:27 | 只看該作者
Anomaly Recognition Method of Network Media Large Data Stream Based on Feature Learning,s the corresponding feature description vector to quantify the detected region. These local features are robust to background and attitude changes, and are usually used in target detection, target classification and other fields. Therefore, the study of outlier coevolution feature learning is of gre
47#
發(fā)表于 2025-3-29 18:22:22 | 只看該作者
48#
發(fā)表于 2025-3-29 19:47:50 | 只看該作者
Hardware System of Thermal Imaging Distribution Line Temperature Monitor Based on Digital Technologd transmission, and establish a differential autoregressive moving average model (ARIMA) to predict the change trend of contact temperature, at the same time, the mobile phone APP terminal synchronously displays the monitoring data of the contact temperature, and obtains the distribution image and d
49#
發(fā)表于 2025-3-30 02:04:13 | 只看該作者
50#
發(fā)表于 2025-3-30 04:34:03 | 只看該作者
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