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BettaNet: A Deep Learning Architecture for Classification of Wild Siamese Betta Species

IOP Conference Series: Materials Science and Engineering

Voravarun Pattana-anake1, Pimsiri Danphitsanuparn2 and Ferdin Joe John Joseph1 Published under licence by IOP Publishing Ltd

Citation Voravarun Pattana-anake et al 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1055 012104

Wild Betta Species from Thailand

Ms. Voravarun Pattana-anake, Ms. Pimsiri Danphitsanuparn, Data Science and Analytics (DSA-TNIC) students and Dr. Ferdin Joe John Joseph, Thai-Nichi International College faculty member have created “BettaNet: A Deep Learning Architecture for Classification of Wild Siamese Betta Species” with the ability to publish on IOP (Conference Series: Materials Science and Engineering.

OPEN ACCESS BettaNet: A Deep Learning Architecture for Classification of Wild Siamese Betta Species

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  • Volume 1055 International Virtual Conference on Robotics, Automation, Intelligent Systems and Energy (IVC RAISE 2020) 15th December 2020, Erode, India

Accepted papers received: 12 January 2021
Published online: 19 February 2021