Unsupervised Learning Approaches for Zooplankton Classification: Recent Trends and Advances-Reference-Cited by-同舟云学术

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Unsupervised Learning Approaches for Zooplankton Classification: Recent Trends and Advances

Published:2023-12-13 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2023 International Symposium on Ocean Technology (SYMPOL)
language:
Short-container-title:

Author:

Ansari Sadaf¹,Nisheeth Charan Reddy K. Y.²,Desai Dattesh V.³

Affiliation:

1. (Computer Vision & AI) CSIR-National Institute of Oceanography,Marine Instrumentation Division,Goa,India

2. Chaitanya Bharathi Institute of Technology,Department of Electronics & Communication Engineering,Hyderabad,India

3. CSIR-National Institute of Oceanography,Biological Oceanography Division,Goa,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10454901/10454910/10455019.pdf?arnumber=10455019

Reference35 articles.

1. Acid Rain and Deposition

2. The role of subtropical zooplankton as grazers of phytoplankton under different predation levels

3. Micro-grazer biomass, composition and distribution across prey resource and dissolved oxygen gradients in the far eastern tropical north Pacific Ocean

4. Spatial pattern analysis of zooplankton community of Bakreswar reservoir, India

5. Reproductive Biology of Teleost Fishes

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