Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Teerawat Tongloy"'
Autor:
Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Traditional mosquito identification methods, relied on microscopic observation and morphological characteristics, often require significant expertise and experience, which can limit their effectiveness. This study introduces a self-supervise
Externí odkaz:
https://doaj.org/article/180b062b2a844c6ebe77d702b92a1eee
Autor:
Veerayuth Kittichai, Weerachat Sompong, Morakot Kaewthamasorn, Thanyathep Sasisaowapak, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Suchansa Thanee, Siridech Boonsang
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30643- (2024)
Trypanosomiasis, a significant health concern in South America, South Asia, and Southeast Asia, requires active surveys to effectively control the disease. To address this, we have developed a hybrid model that combines deep metric learning (DML) and
Externí odkaz:
https://doaj.org/article/ff2e4a91ede7481a81f3f8f83c4d0cdb
Autor:
Veerayuth Kittichai, Morakot Kaewthamasorn, Yudthana Samung, Rangsan Jomtarak, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Mosquito-borne diseases such as dengue fever and malaria are the top 10 leading causes of death in low-income countries. Control measure for the mosquito population plays an essential role in the fight against the disease. Currently, several
Externí odkaz:
https://doaj.org/article/b0df540612f140f9a0986e447e9f0219
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation
Autor:
Rujira Wanotayan, Khaisang Chousangsuntorn, Phasit Petisiwaveth, Thunchanok Anuttra, Waritsara Lertchanyaphan, Tanwiwat Jaikuna, Kulachart Jangpatarapongsa, Pimpon Uttayarat, Teerawat Tongloy, Chousak Chousangsuntorn, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has become one of the most reliable and sensitive biomarkers of DNA DSBs. However, the γ-H2A
Externí odkaz:
https://doaj.org/article/d194011aa92142459a3da9b8bc0d5fc1
Autor:
Veerayuth Kittichai, Morakot Kaewthamasorn, Suchansa Thanee, Rangsan Jomtarak, Kamonpob Klanboot, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract The infection of an avian malaria parasite (Plasmodium gallinaceum) in domestic chickens presents a major threat to the poultry industry because it causes economic loss in both the quality and quantity of meat and egg production. Computer-ai
Externí odkaz:
https://doaj.org/article/3b56ebdf33274ba59a8fde89d71210c6
Autor:
Kaung Myat Naing, Siridech Boonsang, Santhad Chuwongin, Veerayuth Kittichai, Teerawat Tongloy, Samrerng Prommongkol, Paron Dekumyoy, Dorn Watthanakulpanich
Publikováno v:
PeerJ Computer Science, Vol 8, p e1065 (2022)
Background Object detection is a new artificial intelligence approach to morphological recognition and labeling parasitic pathogens. Due to the lack of equipment and trained personnel, artificial intelligence innovation for searching various parasiti
Externí odkaz:
https://doaj.org/article/d7feca217a9845d6a0be30d7e50a8bb6
Autor:
Veerayuth Kittichai, Theerakamol Pengsakul, Kemmapon Chumchuen, Yudthana Samung, Patchara Sriwichai, Natthaphop Phatthamolrat, Teerawat Tongloy, Komgrit Jaksukam, Santhad Chuwongin, Siridech Boonsang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Microscopic observation of mosquito species, which is the basis of morphological identification, is a time-consuming and challenging process, particularly owing to the different skills and experience of public health personnel. We present de
Externí odkaz:
https://doaj.org/article/9f1704ac7cf0410296b933f43d63cd5e
Publikováno v:
Sensors, Vol 21, Iss 18, p 6261 (2021)
This paper outlines a system for detecting printing errors and misidentifications on hard disk drive sliders, which may contribute to shipping tracking problems and incorrect product delivery to end users. A deep-learning-based technique is proposed
Externí odkaz:
https://doaj.org/article/e30eb85589a54d9b821b2b8a1c310387
Autor:
Kaung Myat Naing, Veerayuth Kittichai, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang
Publikováno v:
Bulletin of Electrical Engineering & Informatics; Apr2024, Vol. 13 Issue 2, p1147-1158, 12p
Autor:
Rangsan Jomtarak, Veerayuth Kittichai, Morakot Kaewthamasorn, Suchansa Thanee, Apinya Arnuphapprasert, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin
Publikováno v:
2023 IEEE International Conference on Cybernetics and Innovations (ICCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed38085a5f31be3b70abe56c53d966e4
https://doi.org/10.1109/icci57424.2023.10112327
https://doi.org/10.1109/icci57424.2023.10112327