Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …

Food recognition is a vital component of various applications, including dietary monitoring,
nutritional analysis, and restaurant menu optimization. In recent years, deep learning …

This paper proposes a method to classify food types and to estimate meal intake amounts in
pre-and post-meal images through a deep learning object detection network. The food types …

Food cooking process are complex dynamical systems to model. In the state of the art we
find that a good solution consists of physics-based finite element models (FEM). FEM …

In this paper, we propose an amount estimation method for food intake based on both color
and depth images. Two pairs of color and depth images are captured pre-and post-meals …

Food classification is crucial for the food industry and has a significant impact on public
health and nutrition. Deep learning techniques such as YOLOv5 and YOLOv7 have recently …

As the digital era develops, smart food technologies are more in demand because they
make meal planning and preparation simpler and more enjoyable. Recipe recommendation …

Highlights Model can perform pork freshness quality testing under complex lighting.
MobileNetV3_E outperforms other state-of-the-art models. Model achieves an optimal …

Food image classification is a growing research area as it has many advantages, whether in
the health sector to maintain a proper diet or in the tourism sector to help tourists know about …

Food tourism can be a competitive advantage for Indonesian tourism. With diverse cultures
and ethnicities, Indonesia certainly has local culinary characteristics not found in other …