Dietary assessment can be crucial for the overall well-being of humans and, at least in some
instances, for the prevention and management of chronic, life-threatening diseases. Recall …

In this letter, we propose a protocol for an automatic food recognition system that identifies
the contents of the meal from the images of the food. We developed a multilayered …

State-of-the-art deep learning models for food recognition do not allow data incremental
learning and often suffer from catastrophic interference problems during the class …

Food recognition systems recently garnered much research attention in the relevant field
due to their ability to obtain objective measurements for dietary intake. This feature …

Diabetes has emerged as a worldwide health crisis, affecting approximately 537 million
adults. Maintaining blood glucose requires careful observation of diet, physical activity, and …

Since the dawn of the 21st century, the carbon footprint has become an important indicator
for measuring environmental impact. While it's been recognized that changing one's dietary …

Vegetable intake is an essential element to maintain a healthy body of a human. However,
research shows most people do not consume an adequate intake of vegetables per day. An …

A succession of improvements in image processing have been aided by deep learning.
There were considerable advancements in the use of deep learning techniques to food …

Food recognition is one challenging domain on computer vision because of the complex
structure of food images. On the other hand, it is a worthy issue because of its versatile …

Semantic mapping can help robots better understand the environment and is extensively
studied in robotics. However, it is a challenge for semantic mapping that calibrates all the …