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

相关概念视频

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

99
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
99
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

34
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
34

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

Overlap Syndromes and Associated Immunoglobulin-G4-Related Liver Diseases.

Journal of clinical and experimental hepatology·2026
Same author

Quantitative investigation on working memory patterns through EEG based on visual attention task for children with learning disability.

Frontiers in systems neuroscience·2026
Same author

A real-world framework for automated product recognition and catalog generation: dataset, model, and analysis.

Scientific reports·2026
Same author

Path informed adaptive trend analyzer using Hilbert Huang transform for electric vehicle driving range prediction.

Scientific reports·2026
Same author

Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.

Scientific reports·2026
Same author

ZuraNet: a hybrid rule-based intrusion detection system with deep learning for securing SCADA-driven cyber-physical systems.

Scientific reports·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: May 17, 2025

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

2.4K

利用堆叠机器学习模型和优化来改进网络攻击检测和检测.

Neha Pramanick1, Jimson Mathew1, Shitharth Selvarajan2,3,4

  • 1Computer Science and Engineering, IIT Patna, Patna, Bihar, 801103, India.

Scientific reports
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用机器学习的增强入侵检测系统 (IDS) 框架. 这种新的方法提高了检测网络攻击的准确性和效率,特别是在数据不平衡的情况下.

关键词:
在IDS IDS中,您可以使用这是NSL-KDD.优化优化 优化优化在SMOTE中使用.堆叠 ML 在堆叠 ML.东南大西洋 - - NB1515

更多相关视频

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

466
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

相关实验视频

Last Updated: May 17, 2025

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
06:20

Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

Published on: December 6, 2024

2.4K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

466
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K

科学领域:

  • 网络安全 网络安全
  • 机器学习 机器学习
  • 网络安全 网络安全

背景情况:

  • 复杂的网络攻击需要先进的入侵检测系统 (IDS).
  • 现有的方法在高维数据,不平衡的类和高错误阳性率方面扎.
  • 强大而准确的IDS对于网络防御至关重要.

研究的目的:

  • 引入一种用于入侵检测的创新框架.
  • 解决当前IDS的准确性,不平衡数据和效率方面的挑战.
  • 通过整合新的机器学习技术,开发出优质的IDS.

主要方法:

  • 集成J48和ExtraTreeClassifier机器学习模型进行分类.
  • 一个改进的平衡优化器 (EEO) 用于使用K-Nearest Neighbors (KNN) 费舍尔和准确度得分进行特征选择.
  • 合成少数群体过量采样技术与代分区过器 (SMOTE-IPF) 用于类平衡和KNN用于数据归算.

主要成果:

  • 获得了高精度 (NSL-KDD上99.7%,UNSW-NB15上98.1%) 和F1分数 (分别为99.6%和98.0%).
  • 在特征选择精度和分类准确度方面表现出卓越的性能.
  • 有效地处理了少数类实例,并提高了计算效率.

结论:

  • 拟议的IDS框架显著提高了检测能力.
  • 该方法提供了一个强大的解决方案,用于管理不平衡的数据集和减少假阳性.
  • 该系统为网络入侵检测提供了计算效率高,准确的方法.