Deep learning has been proved to be an advanced technology for big data analysis with a
large number of successful cases in image processing, speech recognition, object detection …

Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Food Adulteration is a deceptive act of misleading food buyers for economic gain. It has
been a major concern due to its risk to public health, reduction of food quality or nutritional …

Obesity is increasing worldwide and can cause many chronic conditions such as type-2
diabetes, heart disease, sleep apnea, and some cancers. Monitoring dietary intake through …

The increase in awareness of people toward their nutritional habits has drawn considerable
attention to the field of automatic food analysis. Focusing on self-service restaurants …

ObjectiveTo develop an artificial intelligence (AI)-based algorithm which can automatically
detect food items from images acquired by an egocentric wearable camera for dietary …

Food recognition is one of the most important components in image-based dietary
assessment. However, due to the different complexity level of food images and inter-class …

Numerous deep learning methods have been developed to tackle the challenges of
recognizing food images, including convolutional neural networks, deep feature extraction …

Due to a lack of efficient measures for dealing with food waste at many levels, including food
supply chains, homes, and restaurants, the world's food supply is shrinking at an alarming …

Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …