Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

188
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:
188
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

333
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
333
Ethical Standards I01:25

Ethical Standards I

962
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
962
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
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...
5.8K
Manipulation and Analysis01:21

Manipulation and Analysis

59
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
59

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Retrospective study on antibiotic resistance profiles of uropathogenic <i>Escherichia coli</i> with emphasis on β-lactamase production in a tertiary hospital in Saudi Arabia.

Frontiers in microbiology·2026
Same author

Evaluating the efficacy of rimegepant as a preventive treatment for chronic and episodic migraine: a three-month longitudinal retrospective cohort study.

Frontiers in neurology·2026
Same author

Mediastinal over-staging with PET-CT in tuberculosis-endemic locally advanced NSCLC: SUV threshold recalibration improves PET/EBUS concordance.

European journal of nuclear medicine and molecular imaging·2026
Same author

Infection following foot and ankle surgery : a subanalysis of data captured from the UK Foot and Ankle Thromboembolism (FATE) audit.

The bone & joint journal·2026
Same author

Development and evaluation of a Zr-MOF/PVA nanofiber composite for efficient adsorption of malathion and carbofuran and antimicrobial control of aquatic pathogens.

RSC advances·2026
Same author

Nanozymes in Personalized Medicine: A Review of the Potential for Tailored Diagnostic and Therapeutic Applications.

Current pharmaceutical biotechnology·2026
Same journal

Therapeutic potential of crude protein extracts from two Egyptian freshwater snails Lanistes carinatus and Bellamya unicolor.

Scientific reports·2026
Same journal

Microbial contamination of donor corneas and post-keratoplasty endophthalmitis: a comparison between Japanese and U.S. eye banks using cold storage.

Scientific reports·2026
Same journal

Prevalence and contributing factors of virological non-suppression among adult patients on first-line antiretroviral therapy in tertiary hospitals in Ethiopia.

Scientific reports·2026
Same journal

An in vitro comparison of color stability between alkasite and different restorative materials in various staining solutions.

Scientific reports·2026
Same journal

Toward accessible mRNA LNP formulation: systematic evaluation of mixing strategies and key parameters.

Scientific reports·2026
Same journal

A network analysis of personality traits, mentalizing, and psychological health in Chinese college students.

Scientific reports·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K

機械学習とディープラーニングでサイバーセキュリティに革命をもたらすためにデータ分析を活用する

Asadi Srinivasulu1,2, Tae-Hoon Kim3, Ravikumar Chinthaginjala4

  • 1Cooperative Research centre for contamination Assessment and Remediation of the Environment (CRC CARE),Global Centre for Environmental Remediation/College of Engineering Science & Environment, ATC Building, The University of New Castle, Callaghan, NSW2308, Australia. srinuasadi@gmail.com.

Scientific reports
|August 29, 2025
PubMed
まとめ
この要約は機械生成です。

この研究では,コンボリューションニューラルネットワーク (CNN) を使用してサイバーセキュリティのデータを分析し,脅威の検出と分類において高い精度を達成しています. このディープラーニングのアプローチは 進化するサイバー攻撃に対するサイバーセキュリティの防御を強化します

キーワード:
アノマリー検出人工知能コンボリューションニューラルネットワーク (CNN)サイバー防衛サイバーセキュリティサイバー 脅威サイバーセキュリティインシデント対応データ分析ディープラーニング情報セキュリティ侵入検知機械学習ネットワークのセキュリティパターン認識合成データ脅威検出

さらに関連する動画

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

関連する実験動画

Last Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

科学分野:

  • サイバーセキュリティ
  • 機械学習
  • データサイエンス

背景:

  • デジタル技術の発展は 複雑なサイバー攻撃につながります
  • 強力なサイバーセキュリティ対策は不可欠です
  • 伝統的手法には改善が必要です

研究 の 目的:

  • サイバーセキュリティデータ分析のためのコンボリューションニューラルネットワーク (CNN) を探索する.
  • 正確で効率的な脅威検出と分類のためにCNNを評価します.
  • サイバーセキュリティへの ディープラーニングの統合を調査します

主な方法:

  • 主要な技術としてコンボリューションニューラルネットワーク (CNN) を利用した.
  • CNNのアーキテクチャを コンボリューションとプーリングの層で設計しました
  • サイバーセキュリティインシデントを表す合成データを生成した.

主要な成果:

  • CNNはサイバー脅威を 特定し分類する上で 高い精度を示しました
  • このモデルは サイバーセキュリティデータ内の複雑なパターンを 効果的に捉えました
  • サイバーセキュリティの強化に期待しています

結論:

  • ディープラーニング技術 特にCNNは 伝統的なサイバーセキュリティを補完します
  • CNNベースのデータ分析は 積極的な脅威検出の基盤を提供します
  • 将来の作業には 検証のための実用データも含まれます