AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review
Objective Human error estimating food intake is a major source of bias in nutrition research.
Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates …
Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates …
High accuracy food image classification via vision transformer with data augmentation and feature augmentation
X Gao, Z Xiao, Z Deng - Journal of Food Engineering, 2024 - Elsevier
Food image classification is an important research direction in the field of computer vision
and machine learning. However food image classification faces great challenges when …
and machine learning. However food image classification faces great challenges when …
Intelligent Personalized Nutrition Guidance System Using IoT and Machine Learning Algorithm
P Santhuja, EG Reddy, SR Choudri… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
Nowadays, dietary issues are increasing around the world. Numerous problems, such as
weight gain, obesity, diabetes, etc., can arise from an unbalanced diet. By integrating image …
weight gain, obesity, diabetes, etc., can arise from an unbalanced diet. By integrating image …
A modified time adaptive self-organizing map with stochastic gradient descent optimizer for automated food recognition system
Numerous decades of study have been devoted to associating artificial intelligence and
culinary type recognition. Automated food identification systems are significant in many …
culinary type recognition. Automated food identification systems are significant in many …
[HTML][HTML] Evaluating the Validity of the PortionSize Smartphone Application for Estimating Dietary Intake in Free-Living Conditions: A Pilot Study
Objective Evaluate the validity of the PortionSize application. Methods In this pilot study, 14
adults used PortionSize to record their free-living food intake over 3 consecutive days …
adults used PortionSize to record their free-living food intake over 3 consecutive days …
CalorieSense: Design and Development of a Barcode-Free Calorie Monitoring Device using MobileNetSSD for Automated Food Detection
SE Clar, JF Villaverde - 2023 IEEE 5th Eurasia Conference on …, 2023 - ieeexplore.ieee.org
In a fast-paced environment, where unhealthy eating habits become a norm, monitoring
calorie consumption and maintaining a nutritious diet is vital. Engaging in physical activities …
calorie consumption and maintaining a nutritious diet is vital. Engaging in physical activities …
[PDF][PDF] Automatic target recognition module development for fire control system based on machine learning
Target recognition is a priority in military affairs. This task is complicated by the fact that it is
necessary to recognize moving objects, different topography and landscape create …
necessary to recognize moving objects, different topography and landscape create …
Deep Learning Food Detection and Calories Counter
Monitoring and managing dietary intake plays a vital role in maintaining a healthy lifestyle.
However, accurately tracking food consumption and estimating calorie intake can be …
However, accurately tracking food consumption and estimating calorie intake can be …
Android–Based Smart Nutrition Application for Children Nutritional Awareness
P Kwon, RS Hariyani, R Christiansen… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
Malnutrition in children has emerged as a critical public health concern in the modern era,
with significant implications for their long-term health and well-being. Lack of proper nutrition …
with significant implications for their long-term health and well-being. Lack of proper nutrition …
Investigation on the limits of type 1 diabetes therapy automation using insulin pumps
T Nowicki, R Piekarski - Journal of Physics: Conference Series, 2023 - iopscience.iop.org
Type 1 diabetes is an incurable chronic disease that usually has its onset in childhood. The
disease means that the patient's body irreversibly loses its ability to produce the insulin …
disease means that the patient's body irreversibly loses its ability to produce the insulin …