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

Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
Response Surface Methodology01:16

Response Surface Methodology

95
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
95

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

Joint UAV trajectory and offloading optimization with robust secrecy for intelligent mining.

Scientific reports·2026
Same author

Anterior loop of the mental nerve: a cone-beam computed tomography analysis of its prevalence and surgical implications in implant dentistry.

Folia morphologica·2026
Same author

Long-term relief of CRPS-associated limb dystonia with ketamine infusion.

BMJ case reports·2026
Same author

Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system.

Scientific reports·2026
Same author

A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach.

Scientific reports·2026
Same author

Laser-Based Interventions for Preventing and Managing Osteoradionecrosis of the Jaw After Head and Neck Radiotherapy: A Systematic Review.

Cureus·2026
Same journal

Mental health of healthcare workers in England during the first three years of the COVID-19 pandemic: The NHS CHECK study cohort.

PloS one·2026
Same journal

Research on trajectory tracking control of tracked vehicles based on hydraulic motor system identification and Laguerre-MPC.

PloS one·2026
Same journal

A collaborative cervical precancer screening strategy with concurrent HPV genotyping and visual inspection using alumni of a training centre across Ghana: The Rotary 'Protect Your Pearl' initiative.

PloS one·2026
Same journal

Removal efficiency of pesticide residues on pesticide-spiked Perilla Leaf and Broccoli surfaces using microplasma-treated water.

PloS one·2026
Same journal

Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.

PloS one·2026
Same journal

Adaptive robust sparse representation for face recognition based on weighted and fusion dictionary.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 11, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K

使用ISM-ANN减轻可持续云计算挑战的经验研究.

Hathal Salamah Alwageed1, Ismail Keshta2, Rafiq Ahmad Khan3

  • 1College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.

PloS one
|September 30, 2024
PubMed
概括
此摘要是机器生成的。

这项研究解决了可持续云计算的挑战,并提供了一个实际的缓解模型. 拟议的模型有助于组织估计可持续性努力,并为未来的研发提供基础.

更多相关视频

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

494
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K

相关实验视频

Last Updated: Jun 11, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
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

494
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.1K

科学领域:

  • 计算机科学 计算机科学
  • 环境科学 环境科学
  • 社会学 社会学 社会学

背景情况:

  • 由人工智能驱动的云计算的增长为社会和环境可持续性带来了机遇和威胁.
  • 关于广泛,相互连接的计算系统对环境平衡和社会可持续性的影响,存在着未得到回答的问题.

研究的目的:

  • 实证地研究云计算在可持续发展方面的伦理挑战和实践.
  • 确定和分析可持续云计算挑战 (SCCC) 并开发一个缓解模型 (SCCCMM).

主要方法:

  • 系统的文献审查和问卷调查,以确定11个SCCC和66种做法.
  • 解释性结构建模 (ISM) 和人工神经网络 (ANN) 来分析SCCC之间的相互关系.
  • 使用案例研究开发和测试可持续云计算挑战缓解模型 (SCCCMM).

主要成果:

  • 确定了11个SCCC和66个缓解实践.
  • 开发了四个主要类别的SCCCMM:要求规范,服务质量 (QoS) 和服务法律协议 (SLA),复杂性和网络安全以及信任.
  • SCCCMM有效地帮助估计可持续云计算组织的缓解水平.

结论:

  • SCCCMM是实用的,用户友好的,对于云计算中的组织来说是有用的,以提高软件产品的可持续性.
  • 该模型为研究人员和从业人员开发新的可持续云计算方法和工具提供了坚实的基础.