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
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RI content predicted by image analysis and measured by UV/VIS
Methodology of particle size analysis.
Partial least squares (PLS) model predicted class versus tablet sample
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Predicted and measured RI concentrations during a blending experiment.
a) Boxplot displaying the Circle Equivalent Diameter based particle
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Orsolya PÉTERFI, PhD Student, Budapest University of Technology and Economics, Budapest, Department of Organic Chemistry and Technology
Relationship between CNN model parameters and classification accuracy.
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Statistical indices for each excipient in each pretrained model.
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