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

Association Areas of the Cortex01:21

Association Areas of the Cortex

8.7K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
8.7K

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

Deep learning based semantic segmentation of leukemia effected white blood cell.

PloS one·2025
Same author

Cost analysis of IPv6 distributed mobility management protocols in comparison with TFMIPv6.

PloS one·2024
Same author

Predicting inmate suicidal behavior with an interpretable ensemble machine learning approach in smart prisons.

PeerJ. Computer science·2024
Same author

Four port tri-circular ring MIMO antenna with wide-band characteristics for future 5G and mmWave applications.

Heliyon·2024
Same author

Exploring the Role of 6G Technology in Enhancing Quality of Experience for m-Health Multimedia Applications: A Comprehensive Survey.

Sensors (Basel, Switzerland)·2023
Same author

BER Reduction and Capacity Enhancement with Novel Guard Sequence Selection for Multi-Carrier Communication.

Sensors (Basel, Switzerland)·2023

相关实验视频

Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K

艾菲斯:基于人工智能和增强的几次射击学习的高效人脸识别方法.

Moustafa M Nasralla1

  • 1Smart Systems Engineering Laboratory, Communications and Networks Engineering Department, College of Engineering, Prince Sultan University, Riyadh, 11586, Saudi Arabia. mnasralla@psu.edu.sa.

Scientific reports
|November 29, 2025
PubMed
概括

本研究介绍了AIFS,这是一个混合面部识别系统,结合了传统和深度学习方法. 它在低数据场景中达到99%的准确性,为实时AI应用提供了可扩展的解决方案.

科学领域:

  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 在资源有限的环境中,面部识别需求正在增加.
  • 目前的系统在低数据和有限的计算能力下扎.
  • 需要可扩展的AI解决方案来实现实时自适应面部识别.

研究的目的:

  • 引入AIFS,一个高效的混合面部识别框架.
  • 统一传统的基于特征的学习与少数镜头的深度学习.
  • 解决现有的面部识别系统的局限性.

主要方法:

  • 一种混合的罗式建筑,结合了边缘和云路径.
  • 边缘路径:维奥拉-斯算法与粒子集群优化 (PSO).
  • 云路径:有三重损失的姆网络,EfficientNetV2和InceptionV3.3的云路径.

主要成果:

  • 在CPU,Raspberry Pi和GPU上验证了AIFS框架.
  • 在Kaggle面部识别数据集上获得了高达99%的准确性.
  • 在延迟,推断速度和资源效率之间证明了平衡.
关键词:
边缘计算是一种边缘计算.面部识别系统是面部识别系统.功能转移的功能转移.有几次射击学习学习.姆人的网络是姆人的网络.三连三的 三连三的

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

996
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

802

相关实验视频

Last Updated: Jan 9, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.2K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

996
Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction
06:19

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

802

结论:

  • 艾菲斯是一个可扩展和强大的解决方案,用于实时面部识别.
  • 在异质计算环境和低数据设置中有效.
  • 适用于远程医疗,监视和生物识别身份验证.