Jove
Visualize
联系我们

相关概念视频

Teeth01:15

Teeth

264
The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
In the bud stage, the tooth germ (an aggregation of cells) starts to form in the developing jawbone. During the cap stage, the tooth germ differentiates into enamel organ, dental papilla, and dental sac, which will later develop into the tooth's enamel, dentin...
264
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.6K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.6K
Phylogenetic Trees03:21

Phylogenetic Trees

44.9K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
44.9K
Tooth Anatomy01:21

Tooth Anatomy

297
The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
297

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

Moving forward with molecular skeleton editing (MSE) for new drug discovery: where to next?

Expert opinion on drug discovery·2026
Same author

Cenomanian theropod teeth from Algora (central Spain), new evidence for majungasaurine abelisaurids in Europe.

Scientific reports·2026
Same author

Towards automated behaviour monitoring in wildlife: a review of machine learning approaches using accelerometer data.

PeerJ·2026
Same author

Marine-Derived Defenses Against HIV: Emerging Bioactive Molecules from the Seas.

Marine drugs·2026
Same author

Biomass distribution of sympatric mammals in a European temperate forest.

Royal Society open science·2025
Same author

Electromyographic assessment of agonist and antagonist muscles related to the anterior cruciate ligament following surgical Reconstruction: A Cross-Sectional study.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2025
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

相关实验视频

Updated: May 17, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.3K

通过机器学习提高孤立的热足动物牙的分类:一项比较研究.

Carolina S Marques1, Emmanuel Dufourq2,3,4, Soraia Pereira1,5

  • 1Centro de Estatística e Aplicações, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.

PeerJ
|March 31, 2025
PubMed
概括
此摘要是机器生成的。

机器学习 (ML) 模型可以自动分类热足动物牙. 这项研究比较了ML技术,发现一些模型对不平衡的数据集更敏感,为准确的化石识别提供了解决方案.

关键词:
自动分类的自动分类.机器学习是机器学习.过量采样过度采样标准化 标准化 标准化它们是theropodaoda.

更多相关视频

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

745
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.6K

相关实验视频

Last Updated: May 17, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
05:56

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

2.3K
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

745
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.6K

科学领域:

  • 古生物学的古生物学
  • 计算机科学 计算机科学
  • 机器学习 机器学习

背景情况:

  • 使用形态学变量对化石热足动物牙进行分类是具有挑战性的,因为时间限制和类内变异性.
  • 机器学习 (ML) 为自动化孤立牙的分类识别提供了一个潜在的解决方案.

研究的目的:

  • 为了比较六种ML技术的性能,以在属和更高的分类层分类类动物的牙.
  • 评估数据标准化和过量采样技术对不平衡数据集的ML模型性能的影响.
  • 根据它们在牙行中的位置来区分牙.

主要方法:

  • 利用了来自隔离的热足动物牙的形态特征的数据集.
  • 应用并比较了六种不同的ML分类技术.
  • 研究了各种标准化和过量采样方法对不平衡数据集的影响.

主要成果:

  • 在ML模型中,性能差异很大,有些模型对类不平衡的敏感性更高.
  • 特定的标准化和过量采样技术提高了某些模型的分类准确性.
  • 该研究确定了用于热足动物牙分类的最佳ML方法.

结论:

  • 机器学习提供了一种可行的方法,用于自动化类动物牙分类.
  • 通过适当的数据预处理来解决类失衡对于可靠的ML模型性能至关重要.
  • 公共可用的模型和方法有助于未来的研究和古生物学的交叉研究比较.