Coral Health Identification using Image Classification and Convolutional Neural Networks-Reference-Cited by-同舟云学术

Coral Health Identification using Image Classification and Convolutional Neural Networks

Published:2021-11-28 Issue: Volume: Page:
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Container-title:2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Borbon Jon¹,Javier Jeanette¹,Llamado Jony¹,Dadios Elmer¹,Billones Robert Kerwin¹

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731800/9731833/09731905.pdf?arnumber=9731905

Reference23 articles.

1. Transfer Learning Approach for the Classification of Conidial Fungi (Genus Aspergillus) Thru Pre-trained Deep Learning Models

2. Image-Based Macroscopic Classification of Aspergillus Fungi Species Using Convolutional Neural Networks

3. Visual Percepts Quality Recognition Using Convolutional Neural Networks;billones;Advances in Computer Vision CVC 2019 Advances in Intelligent Systems and Computing,2020

4. Quality Assessment of Mangoes using Convolutional Neural Network;puno;2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics Automation and Mechatronics (RAM),2019

5. Coral Reef Annotation and Localization using Faster R-CNN;jaisakthi;CLEF,2019

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2. A fine-tuned MobileNet Model for Coral Classification using Images;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25

3. Deep Learning Architecture based Multi Class Coral Reef Image Classification;OCEANS 2023 - Limerick;2023-06-05

4. Coral Detection using Artificial Neural Networks based on Blurry Images for Reef Protection in Cayo Blanco, Honduras;2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT);2022-12-15