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

Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.2K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.2K
Decision Making01:20

Decision Making

241
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
241
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
152
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.7K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.7K
Multimachine Stability01:25

Multimachine Stability

233
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
233
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

259
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
259

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

Time-dependent change of the sentimental process created by the early warning system in social media.

Journal of emergency management (Weston, Mass.)·2026
Same author

Disrupting explicit encoding paradigms: property-interactive transformers decode T-cell receptor specificity beyond dataset biases.

Briefings in bioinformatics·2025
Same author

The role of ceRNAs in breast cancer microenvironmental regulation and therapeutic implications.

Journal of molecular medicine (Berlin, Germany)·2024
Same author

Geometric Wide-Angle Camera Calibration: A Review and Comparative Study.

Sensors (Basel, Switzerland)·2024
Same author

Efficient Storage and Analysis of Genomic Data: A k-mer Frequency Mapping and Image Representation Method.

Interdisciplinary sciences, computational life sciences·2024
Same author

Carcass characteristics and meat quality of goat kids according to the Colomer - Rocher carcass fatness and conformation classes.

Meat science·2024
Same journal

Big Data-Driven Video Anomaly Detection Using VideoMAE for Visual Analytics in CCTV Surveillance.

Big data·2026
Same journal

Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.

Big data·2026
Same journal

Personalized Driven Instruction Through Explainable Agentic AI in Multicultural Higher Education Environments.

Big data·2026
Same journal

Big Data-Driven Explainable Agentic AI Decision Frameworks for Enterprise Innovation in FinTech Ecosystems.

Big data·2026
Same journal

An Edge-Enabled Low-Latency Cross-Lingual Speech-to-Text Framework for Efficient Human-Robot Interaction.

Big data·2026
Same journal

DS<sup>2</sup>PT: A Deep Two-Stage Patent Text Segmentation Framework Informed by Low-Latency Neural Network Characteristics.

Big data·2026
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.8K

通过时间依赖的决策优化多层网络:一项比较研究

Kenan Menguc1, Alper Yilmaz2

  • 1Industrial Engineering, Istanbul Technical University, Istanbul, Turkey.

Big data
|July 7, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了两个算法,通过最小化边缘之间的中心性偏差来优化动态多层网络. 这些方法有助于在复杂的网络分析中做出知情决策.

关键词:
动态网络是动态的网络.遗传算法是一种遗传算法.多层网络的多层网络.网络优化优化 网络优化运输网络的运输网络.

更多相关视频

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

807
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

相关实验视频

Last Updated: Sep 16, 2025

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.8K
The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

807
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络科学 网络科学
  • 计算数学 计算数学 计算数学

背景情况:

  • 现实世界的网络,如蛋白质-蛋白质,交通和社交网络,往往是多层次的和动态的.
  • 分析和表示这些复杂的结构对于理解它们的行为至关重要.
  • 动态多层网络的尺寸和结构随着时间的推移而变化,需要适应性分析方法.

研究的目的:

  • 开发和介绍有效的算法来分析和优化动态多层网络.
  • 提供在网络扩张和收缩期间做出最佳决策的方法.
  • 提高网络模型对各种现实世界问题类型的适应性.

主要方法:

  • 引入两种不同的算法来管理多层网络中的动态变化.
  • 作为核心策略,尽量减少跨网络边缘之间的标准偏差.
  • 将各种约束和可变目标函数纳入多层加权网络.

主要成果:

  • 拟议的算法允许对网络扩张和收缩进行最佳决策.
  • 复杂网络结构的数学建模得到了促进,提高了分析能力.
  • 这样可以提高模型对各种问题类型的适应性.

结论:

  • 对现实世界多层网络问题的准确分析是必不可少的.
  • 开发的算法为优化动态网络转换提供了有效的解决方案.
  • 通过数学建模和自适应算法,复杂网络分析中的知情决策得到了显著改进.