Sky Guardians- AI and DL for Drone Detection-Reference-Cited by-同舟云学术

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Sky Guardians- AI and DL for Drone Detection

Published:2024-04-26 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Science Technology Engineering and Management (ICSTEM)
language:
Short-container-title:

Author:

Naik S. K. Lokesh¹,SriLakshmi CH²,Reddy V. Surya Narayana³,Parshapu Padma⁴,Kuppala Dharani⁵,Kiran Ajmeera⁶

Affiliation:

1. MLR Institute of Technology,Departmeent of Computer Science and Engineering,Hyderabad,India

2. VNRVJIET,IT Department,Bachupally

3. BVRIT Hyderabad College Of Engineering for Women,CSE Department

4. CVR College of Engineering,Department of Computer Science and Engineering (DS),Hyderabad,501510

5. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad,India

6. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560476/10560517/10560959.pdf?arnumber=10560959

Reference21 articles.

1. Amateur Drone Monitoring: State-of-the-Art Architectures, Key Enabling Technologies, and Future Research Directions

2. Key Technologies and System Trade-offs for Detection and Localization of Amateur Drones

3. Introduction to the Issue on Machine Learning for Cognition in Radio Communications and Radar

4. Survey on Anti-Drone Systems: Components, Designs, and Challenges

5. RF-UAVNet: High-Performance Convolutional Network for RF-Based Drone Surveillance Systems

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