default author photo

Takuya Oishi

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

20

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

Mixer-independent soft sensors to predict tablet critical quality attributes in a continuous direct compression process

Number of pages: 22 Posted: 30 Sep 2025
Kyoto University, Tokyo University of Agriculture and Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, Kyoto University and Kyoto University
Downloads 20 (1,459,862)

Abstract:

Loading...

Equipment-independent soft sensor, Continuous direct compression, Machine learning, Variable selection, Quality assurance