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Titlebook: Big Data and Security; 4th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2023 The Editor(s) (if appli

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發(fā)表于 2025-3-21 18:49:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Big Data and Security
期刊簡(jiǎn)稱(chēng)4th International Co
影響因子2023Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan
視頻videohttp://file.papertrans.cn/186/185682/185682.mp4
學(xué)科分類(lèi)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Big Data and Security; 4th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2023 The Editor(s) (if appli
影響因子This book constitutes the refereed proceedings of the 4th International Conference on?Big Data and Security,?ICBDS 2022, held in Xiamen, China, during?December 8–12, 2022..The 51 full papers and 3 short papers included in this book were carefully reviewed and?selected from 211 submissions. They were organized in topical sections as follows: answer?set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security..
Pindex Conference proceedings 2023
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978-981-99-3299-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Hardware Description Language: Verilog,he range of the power grid is a huge challenge faced by the day-ahead dispatch of power system. Aiming at this problem, this paper proposes a method for generating day-ahead scenarios for renewable energy based on historical data analysis. First, the deep embedding clustering (DEC) algorithm is used
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Hardware Description Language: Verilog,risks and improving investment returns. Existing research mainly focuses on mid or low-frequency stock price prediction, which is challenging to apply to intraday high-frequency trading scenarios. Meanwhile, the model accuracy face limitation due to the neglect of the influence of random noise and t
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Introduction to Embedded Systemsnticity and security. If network data is not effectively supervised, unexpected events such as data loss, leakage or tampering will occur, resulting in network data threats and risks that cannot be traced and responded to. The traditional data tracing methods are found difficult to meet the processi
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