Work

Stability assessment of liquid formulations: A deep learning approach

Year: 2022

Type: article

Source: Chemical Engineering Science

DOI: 10.1016/j.ces.2022.117991

Authors: Maurizio De Micco, Diego Gragnaniello, Fabio Zonfrilli, Vincenzo Guida, Massimiliano M. Villone, Giovanni Poggi, Luisa Verdoliva

Institutions: University of Naples Federico II, University of Salerno, Procter & Gamble (Belgium)

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4292339813

FWCI: 0.473

Cites: 55

Cited by: 6

Related to: 10