Multiclass-Classification of Algae using Dc-GAN and Transfer Learning-Reference-Cited by-同舟云学术

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Multiclass-Classification of Algae using Dc-GAN and Transfer Learning

Published:2022-03-12 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Image Processing and Robotics (ICIPRob)
language:
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Author:

Abdullah ¹,Khan Ziaullh²,Mumtaz Wajid²,Mumtaz Abdul Samad³,Bhattacharjee Subrata⁴,Kim Hee-Cheol¹

Affiliation:

1. Inje University,dept. Digital Anti-Aging Healthcare,Gimhae,Republic of Korea

2. National University of Science and Technology,dept. Computer Engineering,Islamabad,Pakistan

3. Quaid-i-Azam University,dept. Plant Science,Islamabad,Pakistan

4. Inje University,dept. Computer Engineering,Gimhae,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9798702/9798453/09798730.pdf?arnumber=9798730

Reference15 articles.

1. Airborne hyperspectral sensing of monitoring harmful algal blooms in the Great Lakes region: system calibration and validation;lekki,2017

2. The rise of harmful cyanobacteria blooms: The potential roles of eutrophication and climate change

3. Approaches to monitoring, control and management of harmful algal blooms (HABs)

4. A Comprehensive Review: Development of Electrochemical Biosensors for Detection of Cyanotoxins in Freshwater

5. Climate Change and Harmful Algal Blooms: Insights and perspective

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1. Information technology integration implementation in public sector organizations: Exploring challenges, opportunities, and future trends;Information Development;2024-05-29

2. Algae Recognition and Usage Prediction Using Deep Convolutional Neural Network;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

3. Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives;Artificial Intelligence Review;2024-04-12

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