Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process
Orsolya Péterfi Nikolett Kállai-Szabó Kincső Renáta Demeter Ádám Tibor Barna István Antal Edina Szabó Emese Sipos Zsombor Kristóf Nagy Dorián László Galata
Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process
Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process
摘要
关键词
Machine vision/Convolutional neural networks/In-line monitoring/Endoscope/Particle size distribution/Pellet layering/Process analytical technologyKey words
Machine vision/Convolutional neural networks/In-line monitoring/Endoscope/Particle size distribution/Pellet layering/Process analytical technology引用本文复制引用
Orsolya Péterfi,Nikolett Kállai-Szabó,Kincső Renáta Demeter,Ádám Tibor Barna,István Antal,Edina Szabó,Emese Sipos,Zsombor Kristóf Nagy,Dorián László Galata..Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process[J].药物分析学报(英文),2025,15(8):1753-1764,12.基金项目
Project no.RRF-2.3.1-21-2022-00015 has been implemented with the support provided by the European Union.The research was supported by the Agency for Credits and Study Grants coor-dinated by the Romanian Ministry of National Education from the source of the research grant established through the Government Decision no.118/2023.The research was supported by the EKÖP-24-3-BME-103 New National Excellence Program of the Ministry for Culture and Innovation from the source of the National,Research,Development and Innovation Fund.The project sup-ported by the Doctoral Excellence Fellowship Programme(DCEP)is funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics,under a grant agreement with the National Research,Development and Innovation Office. (DCEP)