Jove
Visualize
Contact Us

Related Concept Videos

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

139
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
139
Structural Classification of Joints01:20

Structural Classification of Joints

5.3K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
5.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cluster-Based Random Forest Visualization and Interpretation.

IEEE transactions on visualization and computer graphics·2025
Same author

Unconventional Photovoltaic Effect in a Perovskite-Coated Metal-Insulator-Graphene Photodiode.

ACS applied materials & interfaces·2025
Same author

Seafloor primary production in a changing Arctic Ocean.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

A Survey of Text Alignment Visualization.

IEEE transactions on visualization and computer graphics·2020
Same author

Modeling How Humans Judge Dot-Label Relations in Point Cloud Visualizations.

IEEE transactions on visualization and computer graphics·2020
Same author

Visualization and the Digital Humanities.

IEEE computer graphics and applications·2019
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Oct 23, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.4K

Explaining Semi-Supervised Text Alignment Through Visualization.

Christofer Meinecke, David Joseph Wrisley, Stefan Janicke

    IEEE Transactions on Visualization and Computer Graphics
    |August 18, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Text alignment for digital humanities is improved by a new semi-supervised method using word embeddings. This approach incorporates semantic meaning and visualization tools, enhancing accuracy and expert insight in complex text analysis.

    More Related Videos

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    10.0K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.2K

    Related Experiment Videos

    Last Updated: Oct 23, 2025

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

    Published on: July 14, 2015

    7.4K
    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    10.0K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.2K

    Area of Science:

    • Digital Humanities
    • Computational Linguistics
    • Information Visualization

    Background:

    • Manual analysis of variance in complex text traditions is labor-intensive.
    • Existing text alignment algorithms primarily focus on syntactic features, neglecting semantic meaning.

    Purpose of the Study:

    • To develop an improved text alignment approach by integrating semantic features.
    • To enhance transparency and user interaction in text alignment tools through visualization.

    Main Methods:

    • Implemented a semi-supervised text alignment approach utilizing word embeddings to capture both syntactic and semantic information.
    • Developed interactive visual interfaces to represent word distributions in high-dimensional vector spaces.
    • Integrated mechanisms for domain experts to input knowledge into the alignment system.

    Main Results:

    • The combined syntactic and semantic approach significantly improved text alignment quality.
    • Visualization tools increased transparency, aided reliability assessment, and facilitated hypothesis generation.
    • Expert feedback integration enhanced both the text alignment product and process.

    Conclusions:

    • Integrating semantic analysis and visualization offers a powerful advancement for text alignment in digital humanities.
    • Visualization can augment complex reading processes and empower domain experts in computational text analysis.