Author

Theerakamol Pengsakul

Prince of Songkla UniversityORCID 0000-0002-7313-4937Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

Kaung Myat NaingiD· 1 shared Naphop Phatthamolrat· 1 shared Rangsan Jomtarak· 1 shared Santhad ChuwonginiD· 1 shared Siridech BoonsangiD· 1 shared Teerawat TongloyiD· 1 shared Veerayuth KittichaiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Kaung Myat NaingORCID

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1 paper

Recent·Most cited

Performance of Deep Convolutional Neural Network Approaches and Human Level in Detecting Mosquito Species

Rangsan Jomtarak, Veerayuth Kittichai, Theerakamol Pengsakul, Naphop Phatthamolrat, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang

The paper evaluates YOLO v3 for mosquito species classification, achieving high accuracy and sensitivity, and compares model performance with entomologist annotations.

bioRxiv · Jul 23, 2021 · PreprintBioinformatics