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 …

This study develops an image-based prediction model for the physico-chemical composition
of tomatoes based on their surface characteristics. The experiment starts with a collection of …

In Malaysia, health monitoring has become a top priority, especially in regard to calorie
intake, which is essential for keeping a fit body. The prevalence of overweight people and …

Semantic food segmentation is an important task for the development of nutritional systems
that effectively manage daily diets. Recent advances in semantic segmentation have …

Maintaining diabetes requires proper dietary management. Strict dietary management
consists of a daily limit of calorie intake. Diabetic patients must be updated with the number …

A Wireless Sensor Network (WSN) network comprises multiple sensor nodes that collect
sensitive data. These nodes connect with one another and provide information to the central …

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 …

Nutrition in the diet significantly impacts human health and quality of life. Despite its
importance, many individuals need to be made aware of the nutritional content of their food …

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 …

Modern people's hectic schedules are a direct result of the ways they live and the
responsibilities they have at work. On the other hand, maintaining a healthy lifestyle …