Search Results - "Ficzere, Máté"

Real-time coating thickness measurement and defect recognition of film coated tablets with machine vision and deep learning by Ficzere, Máté, Mészáros, Lilla Alexandra, Kállai-Szabó, Nikolett, Kovács, Andrea, Antal, István, Nagy, Zsombor Kristóf, Galata, Dorián László

“…[Display omitted] This paper presents a system, where images acquired with a digital camera are coupled with image analysis and deep learning to identify and…”
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UV/VIS-imaging of white caffeine tablets for prediction of CQAs: API content, crushing strength, friability, disintegration time and dissolution profile by Mészáros, Lilla Alexandra, Madarász, Lajos, Ficzere, Máté, Bicsár, Rozália, Farkas, Attila, Nagy, Zsombor Kristóf

“…[Display omitted] •UV/VIS Machine vision system to determine CQAs of fully white tablets.•Rapid evaluation of compression force impact and API content using…”
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Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision by Ficzere, Máté, Péterfi, Orsolya, Farkas, Attila, Nagy, Zsombor Kristóf, Galata, Dorián László

“…This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the…”
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UV imaging for the rapid at-line content determination of different colourless APIs in their tablets with artificial neural networks by Ficzere, Máté, Alexandra Mészáros, Lilla, Diószegi, Anna, Bánrévi, Zoltán, Farkas, Attila, Lenk, Sándor, László Galata, Dorián, Kristóf Nagy, Zsombor

“…[Display omitted] •A novel high-resolution and rapid (50 ms) at-line UV imaging system was developed.•Colourless high- and non-fluorescent APIs were…”
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UV–VIS imaging-based investigation of API concentration fluctuation caused by the sticking behaviour of pharmaceutical powder blends by Péterfi, Orsolya, Mészáros, Lilla Alexandra, Szabó-Szőcs, Bence, Ficzere, Máté, Sipos, Emese, Farkas, Attila, Galata, Dorián László, Nagy, Zsombor Kristóf

“…[Display omitted] Surface powder sticking in pharmaceutical mixing vessels poses a risk to the uniformity and quality of drug formulations. This study explores…”
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In-line particle size measurement during granule fluidization using convolutional neural network-aided process imaging by Péterfi, Orsolya, Madarász, Lajos, Ficzere, Máté, Lestyán-Goda, Katalin, Záhonyi, Petra, Erdei, Gábor, Sipos, Emese, Nagy, Zsombor Kristóf, Galata, Dorián László

“…•An endoscopy-based direct imaging system can monitor granules during fluidization.•A convolutional neural network-based software was applied for particle…”
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Indirect monitoring of ultralow dose API content in continuous wet granulation and tableting by machine vision by Ficzere, Máté, Mészáros, Lilla Alexandra, Madarász, Lajos, Novák, Márk, Nagy, Zsombor Kristóf, Galata, Dorián László

“…[Display omitted] This paper presents new machine vision–based methods for indirect real-time quantification of ultralow drug content during continuous…”
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Effects of omitting titanium dioxide from the film coating of a pharmaceutical tablet – An industrial case study of attempting to comply with EU regulation 2022/63 by Galata, Dorián László, Sinka Lázárné, Melinda, Kiss-Kovács, Dorottya, Fülöp, Gergő, Dávid, Barnabás, Bogáti, Botond, Ficzere, Máté, Péterfi, Orsolya, Nagy, Brigitta, Marosi, György, Nagy, Zsombor Kristóf

“…Recently, concerns have been raised about the safety of titanium dioxide (TiO2), a commonly used component of pharmaceutical film coatings. The European Union…”
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Continuous Manufacturing of Homogeneous Ultralow-Dose Granules by Twin-Screw Wet Granulation by Démuth, Balázs, Fülöp, Gergő, Kovács, Márk, Madarász, Lajos, Ficzere, Máté, Köte, Ákos, Szabó, Bence, Nagy, Brigitta, Balogh, Attila, Csorba, Kristóf, Kaszás, Gábor, Nagy, Tibor, Bódis, Attila, Marosi, György, Nagy, Zsombor Kristóf

“…Homogeneous ultralow-dose (30 mg) tablets were prepared from perfectly free-flowing granules manufactured by continuous Twin-Screw Wet Granulation. The…”
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Simultaneous prediction of the API concentration and mass gain of film coated tablets using Near-Infrared and Raman spectroscopy and data fusion by Szabó-Szőcs, Bence, Ficzere, Máté, Péterfi, Orsolya, Galata, Dorián László

“…[Display omitted] •The study aims to evaluate the effectiveness of Partial Least Squares (PLS) models combined with different spectroscopic techniques (NIR and…”
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Automated tablet defect detection and the prediction of disintegration time and crushing strength with deep learning based on tablet surface images by Diószegi, Anna, Ficzere, Máté, Mészáros, Lilla Alexandra, Péterfi, Orsolya, Farkas, Attila, Galata, Dorián László, Nagy, Zsombor Kristóf

“…[Display omitted] This paper presents novel measurement methods, where deep learning was used to detect tableting defects and determine the crushing strength…”
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Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets by Alexandra Mészáros, Lilla, Madarász, Lajos, Kádár, Szabina, Ficzere, Máté, Farkas, Attila, Kristóf Nagy, Zsombor

“…[Display omitted] •Innovative approach in dissolution prediction utilizing UV and VIS images.•VIS images enable a non-destructive prediction of compression…”
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Continuous blending monitored and feedback controlled by machine vision-based PAT tool by Galata, Dorián László, Mészáros, Lilla Alexandra, Ficzere, Máté, Vass, Panna, Nagy, Brigitta, Szabó, Edina, Domokos, András, Farkas, Attila, Csontos, István, Marosi, György, Nagy, Zsombor Kristóf

“…[Display omitted] •Machine vision is utilized for the in-line measurement of colored drug content.•Digital camera-based PAT tool for continuous blending…”
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