Effective Searching of Drowning Victims in the River using Deep Learning Method and Underwater Drone-Reference-Cited by-同舟云学术

Effective Searching of Drowning Victims in the River using Deep Learning Method and Underwater Drone

Published:2023-08-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Electronics Symposium (IES)
language:
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Author:

Ellen Diana Agustine Rose¹,Kristalina Prima¹,Hadi Moch. Zen Samsono¹,Patriarso Aries¹

Affiliation:

1. Politeknik Elektronika Negeri Surabaya (PENS),Department of Electrical Engineering,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10242388/10242392/10242589.pdf?arnumber=10242589

Reference16 articles.

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3. A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

4. Smart video Survillance based weapon identification using YOLOv5;bushra;2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC),2022

5. Underwater Target Detection Algorithm Based on Improved YOLOv5

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1. Drowning Victims Detection and River Classification Using Deep Learning Methods;2024 International Electronics Symposium (IES);2024-08-06

2. Deep underwater image compression for enhanced machine vision applications;Frontiers in Marine Science;2024-07-15

3. Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution;IEEE Access;2024

4. An Improved YOLOv5 Algorithm for Drowning Detection in the Indoor Swimming Pool;Applied Sciences;2023-12-25