Low Latency and Non-Intrusive Accurate Object Detection in Forests-Reference-Cited by-同舟云学术

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Low Latency and Non-Intrusive Accurate Object Detection in Forests

Published:2021-12-05 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Hussain Ambreen,Barua Bidushi,Osman Ahmed,Abozariba Raouf,Asyhari A. Taufiq

Funder

Department for Digital, Culture, Media & Sport (DCMS) as part of the 5G Connected Forest (5GCF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660175.pdf?arnumber=9660175

Reference34 articles.

1. Implementation and Analysis of Real-Time Streaming Protocols

2. Design and implementation of streaming media processing software based on RTMP

3. Design and Implementation of Performance Testing Utility for RTSP Streaming Media Server

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic identification of Collembola with deep learning techniques;Ecological Informatics;2024-07

2. Vision System for a Forestry Navigation Machine;Sensors;2024-02-24

3. Forest Vegetation Detection Using Deep Learning Object Detection Models;Forests;2023-09-01

4. Mobile Services for Smart Agriculture and Forestry, Biodiversity Monitoring, and Water Management: Challenges for 5G/6G Networks;Telecom;2023-01-16

5. Implementation of YOLOv7 for Pest Detection;Communications in Computer and Information Science;2023

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