Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Data can be for any discipline, and is only useful if presented, processed, or analyzed in meaningful ways. There are many formats for data such as text, numerical, image and ultrasound. Data can be disciple specific and instrument specific. Applications can be for medical, data communication, remot...
Saved in:
| Main Author: | Richard S. Segall |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2024-12-01
|
| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/PDV/sci/pdfs/SA037AS24.pdf
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
by: Richard S. Segall
Published: (2024-12-01) -
Visual communication of public health data: a scoping review
by: Michael Arthur Ofori, et al.
Published: (2025-04-01) -
A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data
by: Alfredo Cuzzocrea, et al.
Published: (2025-07-01) -
Using Visual Data in Qualitative Research
by: Shane Silpe
Published: (2017-05-01) -
Mastering data visualization with Python: practical tips for researchers
by: Soyul Han, et al.
Published: (2023-12-01)