相关实验视频

Updated: Jun 11, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.0K

改善饮食分析:使用机器学习进行食品热量和健康风险评估

Toby A Adjuik1, Naa Adzoa A Boi-Dsane2, Bababode A Kehinde3

  • 1Department of Agronomy, Iowa State University, Ames, Iowa, USA.

Journal of food science
|October 4, 2024
PubMed
概括

机器学习准确地估计食物的热量,并使用营养数据对健康风险进行分类. 这有助于个性化饮食规划和公共卫生倡议,以打击与饮食有关的疾病.

关键词:
能源估计 能源估计食物营养素 食物营养素营养素数据库营养素数据库营养 营养 营养 营养

更多相关视频

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

5.7K
Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

11.2K

相关概念视频

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
123