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College of Advanced Manufacturing Innovation
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Deep learning approaches for challenging species and gender identification of mosquito vectors.
Scientific reports Mar, 2021 | Pubmed ID: 33649429
Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks.
Scientific reports Aug, 2021 | Pubmed ID: 34413434
A Deep Learning System for Recognizing and Recovering Contaminated Slider Serial Numbers in Hard Disk Manufacturing Processes.
Sensors (Basel, Switzerland) Sep, 2021 | Pubmed ID: 34577468
A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.
Scientific reports Apr, 2022 | Pubmed ID: 35365702
Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation.
Analytica chimica acta May, 2022 | Pubmed ID: 35491041
Automatic recognition of parasitic products in stool examination using object detection approach.
PeerJ. Computer science , 2022 | Pubmed ID: 36092001
Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system.
Scientific reports Jun, 2023 | Pubmed ID: 37391476
King Mongkut’s Institute of Technology Ladkrabang
Veerayuth Kittichai1,
Morakot Kaewthamasorn2,
Suchansa Thanee2,
Thanyathep Sasisaowapak3,
Kaung Myat Naing3,
Rangsan Jomtarak4,
Teerawat Tongloy3,
Santhad Chuwongin3,
Siridech Boonsang5
1Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang,
2Veterinary Parasitology Research Unit, Faculty of Veterinary Science, Chulalongkorn University,
3College of Advanced Manufacturing Innovation, King Mongkut’s Institute of Technology Ladkrabang,
4Faculty of Science and Technology, Suan Dusit University,
5Department of Electrical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang
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