Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN)

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Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN)

Monitoring and understanding fish behavior is crucial to achieve precision in practices. The assessment of fish behavior has always been difficult due to the difference between aquaculture and experimental conditions and much sampling time taken. New technologies have been explored for this reason t...

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Bibliographic Details
Main Authors:	Wan Nur Azhani, Wan Samsudin, Mohd Harizan, Zul, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Wan Norhamidah, Wan Ibrahim
Format:	Conference or Workshop Item
Language:	English English
Published:	Institution of Engineering and Technology 2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://umpir.ump.edu.my/id/eprint/42008/ http://umpir.ump.edu.my/id/eprint/42008/1/Zebrafish%20larvae%20locomotor%20activity%20detection.pdf http://umpir.ump.edu.my/id/eprint/42008/2/Zebrafish%20larvae%20locomotor%20activity%20detection%20using%20Convolutional%20NeuraL%20Network%20%28CNN%29_ABS.pdf

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