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 …

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 …

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 …

Numerous decades of study have been devoted to associating artificial intelligence and
culinary type recognition. Automated food identification systems are significant in many …

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 …

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 …

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 …

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 …

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 …

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 …