AIMC Topic: Food
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High-throughput analysis of hazards in novel food based on the density functional theory and multimodal deep learning.
Food chemistry
Jan 19, 2024
The emergence of cultured meat presents the potential for personalized food additive manufacturing, offering a solution to address future food resource scarcity. Processing raw materials and products in synthetic food products poses challenges in ide...
A Spatial-Spectral Classification Method Based on Deep Learning for Controlling Pelagic Fish Landings in Chile.
Sensors (Basel, Switzerland)
Nov 2, 2023
Fishing has provided mankind with a protein-rich source of food and labor, allowing for the development of an important industry, which has led to the overexploitation of most targeted fish species. The sustainable management of these natural resourc...
Artificial Intelligence Technology for Food Nutrition.
Nutrients
Oct 27, 2023
Food nutrition is generally defined as the heat energy and nutrients obtained from food by the human body, such as protein, fat, carbohydrates and so on [...].
An unsupervised wavelet neural network model for approximating the solutions of non-linear nervous stomach model governed by tension, food and medicine.
Computer methods in biomechanics and biomedical engineering
Aug 22, 2023
The human stomach is a complex organ. Its role is to degrade food particles by using mechanical forces and chemical reactions in order to release nutrients. All ingested items, including our nutrition, should first pass through the stomach, making it...
Robot versus human barista: Comparison of volatile compounds and consumers' acceptance, sensory profile, and emotional response of brewed coffee.
Food research international (Ottawa, Ont.)
Jun 12, 2023
The increasing trend of integrating robots into the food industry has sparked debates regarding their potential influence on consumer attitudes toward food technology. This study investigated volatile compound profiles via gas chromatography-mass spe...
Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence.
The international journal of behavioral nutrition and physical activity
May 26, 2023
The World Health Organization recommends that member states enact policies to limit unhealthy food marketing to children. Chile enacted relatively stringent laws that restrict unhealthy food marketing to children in two phases, beginning in 2016. Dil...
Tuning Stiffness with Granular Chain Structures for Versatile Soft Robots.
Soft robotics
Apr 20, 2023
Stiffness variation can greatly enhance soft robots' load capacity and compliance. Jamming methods are widely used where stiffness variation is realized by jamming of particles, layers, or fibers. It is still challenging to make the variable stiffnes...
Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach.
IEEE journal of biomedical and health informatics
Feb 3, 2023
Federated learning (FL) is a new dawn of artificial intelligence (AI), in which machine learning models are constructed in a distributed manner while communicating only model parameters between a centralized aggregator and client internet-of-medical-...
Tongue crack recognition using segmentation based deep learning.
Scientific reports
Jan 10, 2023
Tongue cracks refer to fissures with different depth and shapes on the tongue's surface, which can characterize the pathological characteristics of spleen and stomach. Tongue cracks are of great significance to the objective study of tongue diagnosis...
Principles and Validations of an Artificial Intelligence-Based Recommender System Suggesting Acceptable Food Changes.
The Journal of nutrition
Dec 27, 2022
BACKGROUND: Along with the popularity of smartphones, artificial intelligence-based personalized suggestions can be seen as promising ways to change eating habits toward more desirable diets.
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