Assessing the Efficacy of Convolutional Neural Networks [CNN] in Determining Natural Calibers of Ingredients by way of Measuring Human Optics (In Silico)

Fuente: Zenodo

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Détails bibliographiques
Auteurs principaux:	Harvard University, Ravinuthala, Dhruv Ravinuthala, Ponna, Ashrith
Format:	Recurso digital
Publié:	Zenodo 2024
Sujets:	CNNs Convolutional Neural Networks Deep Learning Machine Learning Artificial Intelligence AI Vision Human Optics Food Ingredients Manufacturing engineering Nutrients/analysis Sample Size In situ Experimentation Observation Observation/methods Qualitative Research Quantitative analysis Research
Accès en ligne:	Acceder al recurso
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