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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Bibliografski detalji
Glavni autori:	Wan Nur Azhani, Wan Samsudin, Mohd Harizan, Zul, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Wan Norhamidah, Wan Ibrahim
Format:	Conference or Workshop Item
Jezik:	English English
Izdano:	Institution of Engineering and Technology 2022
Teme:	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 pristup:	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

Internet

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

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

Internet

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