Image-based simultaneous particle size distribution and
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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
Predicted and measured RI concentrations during a blending experiment.
Dorián GALATA, PhD Student, Master of Engineering, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
a) Boxplot displaying the Circle Equivalent Diameter based particle
Shape-broadening function for platelet particles of salmeterol
a) Particle morphology of: silica, zinc oxide, salmeterol xinafoate;
Variance Inflation Factor for the PSD variables from Automated Imaging
RI content predicted by image analysis and measured by UV/VIS
Zsombor NAGY, PhD, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
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Attila FARKAS, Research Fellow, PhD, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
Histogram of detected particles with sizes of
PDF) Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality
