Machine Learning-Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data.

Ali, Hussain; Muthudoss, Prakash; Ramalingam, Manikandan; Kanakaraj, Lakshmi; Paudel, Amrit; Ramasamy, Gobi

Ali, Hussain; Muthudoss, Prakash; Ramalingam, Manikandan; Kanakaraj, Lakshmi; Paudel, Amrit; Ramasamy, Gobi.

Afiliación

Ali H; Christ (Deemed to Be University), Bangalore, 560029, Karnataka, India.
Muthudoss P; A2Z4.0 Research and Analytics Private Limited, Chennai, 600062, Tamilnadu, India.
Ramalingam M; Chettinad School of Pharmaceutical Sciences, Chettinad Academy of Research and Education, Chettinad Health City, 603103, Chennai, Tamilnadu, India.
Kanakaraj L; Chettinad School of Pharmaceutical Sciences, Chettinad Academy of Research and Education, Chettinad Health City, 603103, Chennai, Tamilnadu, India.
Paudel A; Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, 8010, Graz, Austria. amrit.paudel@tugraz.at.
Ramasamy G; Institute of Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/3, 8010, Graz, Austria. amrit.paudel@tugraz.at.

AAPS PharmSciTech ; 24(1): 34, 2023 Jan 10.

Article en En | MEDLINE | ID: mdl-36627410

Asunto(s)

Redes Neurales de la Computación; Espectroscopía Infrarroja Corta; Flujo de Trabajo; Aprendizaje Automático; Modelos Teóricos

Palabras clave

NIR spectroscopy; artificial neural network-multilayer perceptron (ANN-MLP); data quality; machine learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Espectroscopía Infrarroja Corta Tipo de estudio: Prognostic_studies Idioma: En Revista: AAPS PharmSciTech Asunto de la revista: FARMACOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: India

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