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基于深度学习的改进变压器模型,用于Android恶意软件的检测和车辆在互联网上的分类

Naif Almakayeel1

  • 1Department of Industrial Engineering, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia. halmakaeel@kku.edu.sa.

Scientific reports
|October 25, 2024
PubMed
概括

在Android恶意软件检测 (DLBITM-AMD) 上,一个新的基于深度学习的改进型变压器模型有效地识别了连接汽车中的Android恶意软件. 这种先进的技术达到99.26%的准确性,提高了自动驾驶系统的安全性.

关键词:
安卓恶意软件检测检测 安卓恶意软件检测深度学习是一种深度学习.车辆的互联网汽车的互联网蛇优化器算法 蛇优化器算法软max 是一个软max.

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Three identical single-phase transformers can be configured to form a three-phase transformer connection, which involves high-voltage and low-voltage windings. The high-voltage windings are denoted by capital letters A-B-C, while the low-voltage windings are labeled with lowercase letters a-b-c, representing their respective phases. This notation helps distinguish between the high and low voltage sides of the transformer.
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Transformers in Distribution System

Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
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