Deep Neural Networks Based Multiclass Animal Detection and Classification in Drone Imagery-Reference-Cited by-同舟云学术

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Deep Neural Networks Based Multiclass Animal Detection and Classification in Drone Imagery

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium on Networks, Computers and Communications (ISNCC)
language:
Short-container-title:

Author:

Chen Changrong¹,Edirisinghe E.A.²,Leonce Andrew³,Simkins Gregory⁴,Khafaga Tamer⁵,Sher Shah Moayyed⁵,Yahya Umar⁶

Affiliation:

1. Loughborough University,Department of Computer Science,Loughborough,UK

2. School of Computing and Mathematics, Keele University,Keele,UK

3. College of Technology Innovation, Zayed University,United Arab Emirates

4. Shaybah Wildlife Sanctuary,Kingdom of Saudi Arabia

5. King Salman Royal Nature Reserve,Kingdom of Saudi Arabia

6. Islamic University,Department of Computer Science,Kampala,Uganda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10323591/10323546/10323685.pdf?arnumber=10323685

Reference30 articles.

1. Unmanned aircraft systems in wildlife research: current and future applications of a transformative technology

2. Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation

3. Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

4. Editorial of Special Issue “Drones for Biodiversity Conservation and Ecological Monitoring”

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