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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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institution of Engineering and Technology
2022
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| 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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| author | Wan Nur Azhani, Wan Samsudin Mohd Harizan, Zul Mohd Zamri, Ibrahim Rohana, Abdul Karim Wan Norhamidah, Wan Ibrahim |
| author_facet | Wan Nur Azhani, Wan Samsudin Mohd Harizan, Zul Mohd Zamri, Ibrahim Rohana, Abdul Karim Wan Norhamidah, Wan Ibrahim |
| author_sort | Wan Nur Azhani, Wan Samsudin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 to get better fish behavior observation. However, most of it are high costing but still have limitations in monitoring the fish behavior. According to the studies, the changes in fish behavior may reflect to the changes of water quality. So, fish behavior can be a great indicator of water quality in aquaculture field. These reactions are also very important in behavioral neuroscience, which study on the physiological, genetic, and developmental mechanisms of behavior in humans and other animals. The zebrafish larvae are used as a model organism to examine the effects of neurotoxin to human behavior. To overcome the limitations, this works aims to develop an algorithm to elucidate the zebrafish larvae locomotor activity using Convolutional Neural Network (CNN). The model used for this project is ssd_mobilenet_v2 fpnlite and the result proved that it could detect the activity of zebrafish larvae with 99.05% of accuracy percentage. |
| first_indexed | 2025-11-15T03:45:43Z |
| format | Conference or Workshop Item |
| id | ump-42008 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:45:43Z |
| publishDate | 2022 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-420082024-09-30T04:36:54Z http://umpir.ump.edu.my/id/eprint/42008/ Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) Wan Nur Azhani, Wan Samsudin Mohd Harizan, Zul Mohd Zamri, Ibrahim Rohana, Abdul Karim Wan Norhamidah, Wan Ibrahim 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 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 to get better fish behavior observation. However, most of it are high costing but still have limitations in monitoring the fish behavior. According to the studies, the changes in fish behavior may reflect to the changes of water quality. So, fish behavior can be a great indicator of water quality in aquaculture field. These reactions are also very important in behavioral neuroscience, which study on the physiological, genetic, and developmental mechanisms of behavior in humans and other animals. The zebrafish larvae are used as a model organism to examine the effects of neurotoxin to human behavior. To overcome the limitations, this works aims to develop an algorithm to elucidate the zebrafish larvae locomotor activity using Convolutional Neural Network (CNN). The model used for this project is ssd_mobilenet_v2 fpnlite and the result proved that it could detect the activity of zebrafish larvae with 99.05% of accuracy percentage. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42008/1/Zebrafish%20larvae%20locomotor%20activity%20detection.pdf pdf en http://umpir.ump.edu.my/id/eprint/42008/2/Zebrafish%20larvae%20locomotor%20activity%20detection%20using%20Convolutional%20NeuraL%20Network%20%28CNN%29_ABS.pdf Wan Nur Azhani, Wan Samsudin and Mohd Harizan, Zul and Mohd Zamri, Ibrahim and Rohana, Abdul Karim and Wan Norhamidah, Wan Ibrahim (2022) Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN). In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 130-135., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2583 |
| spellingShingle | 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 Wan Nur Azhani, Wan Samsudin Mohd Harizan, Zul Mohd Zamri, Ibrahim Rohana, Abdul Karim Wan Norhamidah, Wan Ibrahim Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title | Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title_full | Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title_fullStr | Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title_full_unstemmed | Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title_short | Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) |
| title_sort | zebrafish larvae locomotor activity detection using convolutional neural network (cnn) |
| topic | 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 |
| url | http://umpir.ump.edu.my/id/eprint/42008/ 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 |