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

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

497
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
497
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.1K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

394
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 of...
394

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

Outdoor high-precision 3D dense mapping system based on stereo visual SLAM.

Scientific reports·2026
Same author

An End-to-End autonomous driving model based on visual perception for temporary roads.

PeerJ. Computer science·2025
Same author

Predictive value of baseline CT radiomics for Jianpibushen Prescription efficacy in femoral head necrosis.

The British journal of radiology·2025
Same author

Corrigendum to "Aligning large language models with radiologists by reinforcement learning from AI feedback for chest CT reports" [Eur. J. Radiol. 184 (2025) 111984].

European journal of radiology·2025
Same author

Aligning large language models with radiologists by reinforcement learning from AI feedback for chest CT reports.

European journal of radiology·2025
Same author

A Small Database with an Adaptive Data Selection Method for Solder Joint Fatigue Life Prediction in Advanced Packaging.

Materials (Basel, Switzerland)·2024
Same journal

Correction: Yang et al. Microstructural Characteristics of High-Pressure Die Casting with High Strength-Ductility Synergy Properties: A Review. <i>Materials</i> 2023, <i>16</i>, 1954.

Materials (Basel, Switzerland)·2026
Same journal

Effect of La and Ce Microalloying on the Corrosion Resistance of 0.4Sb Low-Alloy Steel in a Harsh Marine Atmospheric Environment.

Materials (Basel, Switzerland)·2026
Same journal

High-Temperature Properties of Magnesium Ammonium Phosphate Cement Modified with Gold Tailings.

Materials (Basel, Switzerland)·2026
Same journal

A Study on the Evolution of Intermetallic Phase Microstructure and High-Temperature Creep Behavior in Mg-8.0Al-1.0Nd-1.5Gd-Mn Alloys.

Materials (Basel, Switzerland)·2026
Same journal

Material-Driven Clinical Complications in Mechanical Circulatory Support: From Blood-Material Interactions to Device-Related Adverse Events.

Materials (Basel, Switzerland)·2026
Same journal

Influence of Final Irrigation on Calcium Silicate-Based Sealer Dentinal Tubular Penetration: A Systematic Review.

Materials (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: Jan 18, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.8K

多算法集成学习框架,用于预测晶圆级包装的接联接可靠性.

Qinghua Su1, Kuo-Ning Chiang1

  • 1Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu City 300044, Taiwan.

Materials (Basel, Switzerland)
|September 13, 2025
PubMed
概括
此摘要是机器生成的。

本研究使用机器学习 (ML) 与有限元分析 (FEA) 预测包装可靠性. 集体学习框架可以提高有限数据的准确性,降低用于高效设计的计算成本.

关键词:
晶圆级包装 (WLP) 是一种包装方式.组合学习组合学习有限元素分析 (FEA)机器学习是机器学习.

更多相关视频

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.5K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

相关实验视频

Last Updated: Jan 18, 2026

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.8K
Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.5K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机科学 计算机科学
  • 机械工程 机械工程

背景情况:

  • 传统的设计对实验方法来确定包装的可靠性是昂贵和耗时的.
  • 机器学习 (ML) 提供了有效预测的潜力,但在有限的训练数据和高计算成本的情况下面临着挑战.
  • 经过验证的有限元分析 (FEA) 可以生成模拟数据,但优化使用减少数据集的ML训练至关重要.

研究的目的:

  • 通过使用验证的FEA和ML开发一个有效的包装可靠性的预测方法.
  • 为了应对培训数据集大小减少的挑战,并保持机器学习模型的预测准确性.
  • 提出一个集体学习框架,以进行可靠和准确的包装可靠性预测,使用晶圆级包装 (WLP) 作为案例研究.

主要方法:

  • 利用验证的有限元分析 (FEA) 来生成包装可靠性的模拟数据.
  • 应用机器学习 (ML) 技术,根据FEA生成的数据来预测包装可靠性.
  • 开发和实施集体学习框架,集成多个ML算法,以提高预测稳定性.

主要成果:

  • 整体学习框架证明了改善了包装可靠性预测的概括能力.
  • 即使使用受限制的训练数据,也可以实现准确的预测,克服了小数据ML的局限性.
  • 拟议的方法通过利用各种ML算法的互补优势,有效地提高了预测稳定性.

结论:

  • 集体学习为预测包装可靠性提供了强大的解决方案,使用有限的数据来预测包装可靠性.
  • 这种方法通过减少对昂贵的实验方法的依赖,提高了设计效率.
  • 该框架为包装可靠性评估提供了一种计算效率高,准确的方法.