Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 10, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

在电子商务中使用量子增强的混合人工智能框架减轻网络鱼威胁.

Brij B Gupta1,2,3,4,5, Shin-Hung Pan6, Akshat Gaurav7,8

  • 1Department of Computer Science and Information Engineering, Asia University, Taichung, 413, Taiwan. bbgupta@asia.edu.tw.

Scientific reports
|November 27, 2025
PubMed
概括

相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Transcriptome-guided modeling reveals insulin-related metabolic dysfunction in SCA3 mouse cerebellum.

Brain research·2026
Same author

De Novo MFN2 p.Arg95Met in Severe Charcot-Marie-Tooth Disease Type 2A.

Journal of the peripheral nervous system : JPNS·2026
Same author

Retraction Note: AI-optimized GRU-based self-attention model for predictive diabetes staging in IoT healthcare 5.0.

Scientific reports·2026
Same author

Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation.

Scientific reports·2026
Same author

A dynamic light image enhancement algorithm using generative adversarial network for group activity recognition.

Scientific reports·2026
Same author

Color image security technique combining encryption and data hiding for healthcare applications.

Computer methods and programs in biomedicine·2026

本研究介绍了一种量子增强的AI模型,用于检测网络鱼网站. 这种新的方法以更少的参数实现了高精度 (97.3%),提供了高效的网络安全解决方案.

科学领域:

  • 网络安全 网络安全
  • 人工智能的人工智能
  • 量子计算是一种量子计算.

背景情况:

  • 网络鱼网站利用URL结构,构成严重的网络安全威胁.
  • 传统的用于网络鱼检测的深度学习模型具有高的计算成本和缺乏可解释性.

研究的目的:

  • 提出一种新的量子增强混合人工智能模型,用于改进网络鱼网站的检测.
  • 为了利用量子计算原理在网络安全中丰富的特征表示.

主要方法:

  • 集成经典的神经编码器与参数化量子电路.
  • 使用量子纠和叠加来从URL数据中提取增强的特征.
  • 开发一种混合AI模型,用于基于URL的网络鱼检测.

主要成果:

  • 在识别网络鱼网站方面实现了97.3%的分类准确度.
  • 与基线深度学习方法相比,显著减少可训练参数.
  • 证实了模型的有效性和计算效率.

结论:

  • 量子增强的混合AI模型显示了下一代网络鱼检测系统的巨大潜力.
  • 拟议的模型为传统的深度学习方法提供了有效和高效的替代方案.

相关实验视频

Last Updated: Jan 10, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K
  • 量子AI集成可以增强针对复杂威胁的网络安全防御.