Abstract
This paper examines the development of continuous signal pre-processing methods for segmentation, with a particular emphasis on the application of machine learning. Signal segmentation plays a key role in various fields such as medical diagnostics, image and video processing, and security and surveillance systems. The main focus is on improving the quality of segmentation through data pre-processing, which improves the accuracy and reliability of the final results. As an example, an image segmentation algorithm is presented using the U-Net architecture and the VOC 2012 dataset. The paper also presents a literature review covering current research and development in the field of signal pre-processing and signal segmentation.
| Original language | English |
|---|---|
| Title of host publication | SIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331515140 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 5th IEEE International Conference on Smart Information Systems and Technologies, SIST 2025 - Astana, Kazakhstan Duration: 14 May 2025 → 16 May 2025 |
Publication series
| Name | SIST 2025 - 2025 IEEE 5th International Conference on Smart Information Systems and Technologies, Conference Proceedings |
|---|
Conference
| Conference | 5th IEEE International Conference on Smart Information Systems and Technologies, SIST 2025 |
|---|---|
| Country/Territory | Kazakhstan |
| City | Astana |
| Period | 14/05/25 → 16/05/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- image
- machine learning
- pre-processing
- real time
- video