WILDetect: An intelligent platform to perform airborne wildlife census automatically in the marine ecosystem using an ensemble of learning techniques and computer vision-Reference-Cited by-同舟云学术

WILDetect: An intelligent platform to perform airborne wildlife census automatically in the marine ecosystem using an ensemble of learning techniques and computer vision

Published:2023-11 Issue: Volume:231 Page:120574
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kuru Kaya^ORCID,Clough Stuart,Ansell Darren,McCarthy John,McGovern Stephanie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference63 articles.

1. Automated bird counting with deep learning for regional bird distribution mapping;Akçay;Animals,2020

2. A temporal boosted YOLO-based model for birds detection around wind farms;Alqaysi;Journal of Imaging,2021

3. Expedition field techniques: Bird surveys;Bibby,1998

4. Ocean wind 1 offshore wind farm draft environmental impact statement;BOEM,2022

5. Aerial-trained deep learning networks for surveying cetaceans from satellite imagery;Borowicz;PLOS ONE,2019

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