Classification of Drone Detection Module using Hybrid Learning Algorithms-Reference-Cited by-同舟云学术

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Classification of Drone Detection Module using Hybrid Learning Algorithms

Published:2024-05-14 Issue: Volume: Page:672-676
ISSN:
Container-title:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Kanna R. Kishore¹,Joshi Kapil²,Aeri Manisha³,Menezes Flosy R.⁴,Banappagoudar Sudharani B⁵,Pacholi Ambali⁵

Affiliation:

1. Jerusalem College of Engineering,Department of Biomedical Engineering,Chennai,India

2. Uttaranchal University,Uttaranchal Institute of Technology,Department of CSE,Dehradun

3. Graphic Era Hill University,Department of CSE

4. Institute of Nursing Education,Bambolim(Goa),India

5. ITM University,School of Nursing Science,Gwalior,(MP),India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616389/10616398/10616656.pdf?arnumber=10616656

Reference25 articles.

1. CGT-YOLOv5n: A Precision Model for Detecting Mouse Holes Amid Complex Grassland Terrains

2. Optimization of Network Performance using MPLS

3. Drone detection using YOLO

4. Detection of Brain Tumour based on Optimal Convolution Neural Network

5. How Far Can a Drone be Detected? A Drone-to-Drone Detection System Using Sensor Fusion

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