Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar.

Autor: Trachoo V; Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand., Taetragool U; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Pianchoopat P; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Sukitporn-Udom C; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Morakrant N; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Warin K; Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand. Electronic address: warin@tu.ac.th.

Publikováno v: International dental journal [Int Dent J] 2024 Jul 22. Date of Electronic Publication: 2024 Jul 22.

Segmentation of lung lobes and lesions in chest CT for the classification of COVID-19 severity.

Autor: Khomduean P; Centre of Learning and Research in Celebration of HRH Princess Chulabhorn's 60th Birthday Anniversary, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand., Phuaudomcharoen P; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand., Boonchu T; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand.; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand., Taetragool U; Department of Computer Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand., Chamchoy K; Princess Srisavangavadhana College of Medicine, Chulabhorn Royal Academy, Bangkok, Thailand., Wimolsiri N; Chulabhorn Hospital, Chulabhorn Royal Academy, Bangkok, Thailand., Jarrusrojwuttikul T; Queen Savang Vadhana Memorial Hospital, Chonburi, Thailand.; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand., Chuajak A; Queen Savang Vadhana Memorial Hospital, Chonburi, Thailand.; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand., Techavipoo U; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand., Tweeatsani N; Faculty of Health Science Technology, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand. numfon.twe@cra.ac.th.

Publikováno v: Scientific reports [Sci Rep] 2023 Nov 28; Vol. 13 (1), pp. 20899. Date of Electronic Publication: 2023 Nov 28.

Numerical techniques to find optimal input parameters for achieving mean particles' temperature and axial velocity in atmospheric plasma spray process.

Autor: Batra RC; Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA. rbatra@vt.edu., Taetragool U; Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA.; Department of Computer Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.

Publikováno v: Scientific reports [Sci Rep] 2020 Dec 08; Vol. 10 (1), pp. 21483. Date of Electronic Publication: 2020 Dec 08.

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Applying Decision Tree in Fault Pattern Analysis for HGA Manufacturing.

Autor: Taetragool, U., Achalakul, T.

Publikováno v: 2009 International Conference on Complex, Intelligent & Software Intensive Systems; 2009, p83-89, 7p