AIMC Topic: Food

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Improving fine-grained food classification using deep residual learning and selective state space models.

PloS one May 5, 2025
BACKGROUND: Food classification is the foundation for developing food vision tasks and plays a key role in the burgeoning field of computational nutrition. Due to the complexity of food requiring fine-grained classification, the Convolutional Neural ...
Neural Networks, Computer Algorithms Food Databases, Factual Deep Learning
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Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene.

Scientific reports Apr 23, 2025
The burden of diet-related diseases is high in Central Asia. In recent years, the field of food computing has gained prominence due to advancements in computer vision (CV) and the increasing use of smartphones and social media. These technologies pro...
Humans Asia Image Processing, Computer-Assisted Food Algorithms Deep Learning
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Contemporary digital marketing techniques used in unhealthy food campaigns targeting young people.

Appetite Apr 2, 2025
The digital marketing of unhealthy foods and non-alcoholic beverages has a detrimental impact on children's eating behaviours, leading to adverse diet-related health outcomes. To inform the development of evidence-based strategies to protect children...
Health Promotion Beverages Humans Male Female Digital Technology Child, Preschool Food Industry Feeding Behavior Adolescent Food Preferences Food Child Marketing
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AI-Enabled IoT for Food Computing: Challenges, Opportunities, and Future Directions.

Sensors (Basel, Switzerland) Mar 28, 2025
Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), the Internet of Things (IoT), and data-driven approaches, to address various challenges in the food sector. It encompasses a wide range of technol...
Internet of Things Food Humans Artificial Intelligence
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Reducing food waste in the HORECA sector using AI-based waste-tracking devices.

Waste management (New York, N.Y.) Mar 1, 2025
This study assesses the effectiveness of an intervention employing an AI-based, fully automatic waste-tracking system for food waste reduction in HORECA establishments. Waste-tracking devices were installed in a restaurant within a holiday resort and...
Food Waste Products Food Industry Conservation of Natural Resources Restaurants Food Loss and Waste Greece Waste Management Artificial Intelligence Switzerland Automation Germany Sustainable Development
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Sensory-biased autoencoder enables prediction of texture perception from food rheology.

Food research international (Ottawa, Ont.) Feb 15, 2025
Understanding how the physical properties of food affect sensory perception remains a critical challenge for food design. Here, we present an innovative machine learning strategy to decode the complex relationships between non-Newtonian rheological a...
Humans Male Food Taste Machine Learning Young Adult Neural Networks, Computer Rheology Female Adult Autoencoder
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An Explainable CNN and Vision Transformer-Based Approach for Real-Time Food Recognition.

Nutrients Jan 20, 2025
BACKGROUND: Food image recognition, a crucial step in computational gastronomy, has diverse applications across nutritional platforms. Convolutional neural networks (CNNs) are widely used for this task due to their ability to capture hierarchical fea...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Food
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Development and validation of an AI-driven tool to evaluate chewing function: a proof of concept.

Journal of dentistry Dec 13, 2024
BACKGROUND: Masticatory function is an important determinant of oral health and a contributing factor in the maintenance of general health. Currently, objective assessment of chewing function is a clinical challenge. Previously, several methods have ...
Neural Networks, Computer Mastication Humans Artificial Intelligence Proof of Concept Study Food
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Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms.

Sensors (Basel, Switzerland) Nov 29, 2024
The work aims to leverage computer vision and artificial intelligence technologies to quantify key components in food distribution services. Specifically, it focuses on dish counting, content identification, and portion size estimation in a dining ha...
Image Processing, Computer-Assisted Food Algorithms Deep Learning Humans Artificial Intelligence
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Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review.

Journal of medical Internet research Nov 15, 2024
BACKGROUND: To accurately capture an individual's food intake, dietitians are often required to ask clients about their food frequencies and portions, and they have to rely on the client's memory, which can be burdensome. While taking food photos alo...
Food Artificial Intelligence Humans Nutrition Assessment
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