[HTML][HTML] Applications of knowledge graphs for food science and industry
The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …
databases (eg, nutrition tables and food compositional databases), and social media (eg …
[HTML][HTML] Machine Learning algorithms and fundamentals as Emerging Safety Tools in Preservation of fruits and vegetables: a review
Machine learning assists with food process optimization techniques by developing a model
to predict the optimal solution for given input data. Machine learning includes unsupervised …
to predict the optimal solution for given input data. Machine learning includes unsupervised …
Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model
The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for
personalized health management. AI-based fitness applications are becoming more …
personalized health management. AI-based fitness applications are becoming more …
Wild foods contribute to women's higher dietary diversity in India
Wild foods, from forests and common lands, can contribute to food and nutrition security.
Most previous studies have established correlations between wild food consumption and …
Most previous studies have established correlations between wild food consumption and …
[HTML][HTML] Assessment and prediction of depression and anxiety risk factors in schoolchildren: machine learning techniques performance analysis
Background: Depression and anxiety symptoms in early childhood have a major effect on
children's mental health growth and cognitive development. The effect of mental health …
children's mental health growth and cognitive development. The effect of mental health …
Machine learning applications in healthcare: The state of knowledge and future directions
Detection of easily missed hidden patterns with fast processing power makes machine
learning (ML) indispensable to today's healthcare system. Though many ML applications …
learning (ML) indispensable to today's healthcare system. Though many ML applications …
Integrating transformer-based machine learning with SERS technology for the analysis of hazardous pesticides in spinach
This study introduces an innovative strategy for the rapid and accurate identification of
pesticide residues in agricultural products by combining surface-enhanced Raman …
pesticide residues in agricultural products by combining surface-enhanced Raman …
Continuity, considerations, and future directions for the Healthy Eating Index-Toddlers-2020
KA Herrick, JL Lerman, TRE Pannucci… - Journal of the Academy …, 2023 - Elsevier
Abstract The Dietary Guidelines for Americans, 2020-2025 includes guidance for infants and
toddlers aged birth to 24 months. To assess alignment with this new guidance, the Healthy …
toddlers aged birth to 24 months. To assess alignment with this new guidance, the Healthy …
From plate to production: Artificial intelligence in modern consumer-driven food systems
Global food systems confront the urgent challenge of supplying sustainable, nutritious diets
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …
in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringing in a …
National food intake assessment: technologies to advance traditional methods
AJ Moshfegh, DG Rhodes… - Annual Review of Nutrition, 2022 - annualreviews.org
National dietary surveillance produces dietary intake data used for various purposes
including development and evaluation of national policies in food and nutrition. Since 2000 …
including development and evaluation of national policies in food and nutrition. Since 2000 …