Deep learning was used to simultaneously determine the API concentration and particle size distribution of two components of a powder blend
AbstractThis work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consi
Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets - ScienceDirect
The negative gradients of cross-entropy loss, the plane x + y + z = 0
a) Particle Morphology and Size Characterization of Model Sample
Characteristics of the ten model excipients.
RI content predicted by image analysis and measured by UV/VIS
Attribute Control Chart and Control Strategy utilizing Bowley's
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision - ScienceDirect
Machine vision-based non-destructive dissolution prediction of meloxicam-containing tablets - ScienceDirect
The surface of tablets compressed with a) 5 kN and b) 15 kN force;
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision - ScienceDirect
Dorián GALATA, PhD Student, Master of Engineering, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
Attila FARKAS, Research Fellow, PhD, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision - ScienceDirect
Zsombor NAGY, PhD, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
Flow chart of this research.
