AIMC Topic: Food

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Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models.

Bioresource technology Nov 6, 2024
Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal r...
Fatty Acids, Volatile Machine Learning Bioreactors Bacteria Anaerobiosis Refuse Disposal Food Loss and Waste Biofuels Food
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Computational gastronomy: capturing culinary creativity by making food computable.

NPJ systems biology and applications Jul 8, 2024
Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities, and civilizations. Food and cooking transcend mere sensory pleasure to influence nutrition and public health outcomes. Inextricably linked to culina...
Algorithms Cooking Food Creativity Humans Artificial Intelligence
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Validity of zinc oxide nanoparticles biosynthesized in food wastes extract in treating real samples of printing ink wastewater; prediction models using feed-forward neural network (FFNN).

Chemosphere Jul 5, 2024
In the present study, biosynthesized ZnO nanoparticles in food wastewater extract (FWEZnO NPs) was used in the photocatalytic degradation of real samples of printing ink wastewater. FWEZnO NPs were prepared using green synthesis methods using a compo...
Waste Disposal, Fluid Water Pollutants, Chemical Neural Networks, Computer Wastewater Zinc Oxide Food Metal Nanoparticles Catalysis Printing Ink
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Revealing Comprehensive Food Functionalities and Mechanisms of Action through Machine Learning.

Journal of chemical information and modeling Jul 1, 2024
Foods possess a range of unexplored functionalities; however, fully identifying these functions through empirical means presents significant challenges. In this study, we have proposed an approach to comprehensively predict the functionalities of fo...
Computer Simulation Big Data Food Humans Machine Learning
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Fine-grained food image classification and recipe extraction using a customized deep neural network and NLP.

Computers in biology and medicine Apr 30, 2024
Global eating habits cause health issues leading people to mindful eating. This has directed attention to applying deep learning to food-related data. The proposed work develops a new framework integrating neural network and natural language processi...
Natural Language Processing Food Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Humans
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Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning.

Sensors (Basel, Switzerland) Mar 22, 2024
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. The pre- and post-meal color images are employed to detect food types an...
Eating Food Computer Simulation Postprandial Period Deep Learning
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Robust Deep Neural Network for Learning in Noisy Multi-Label Food Images.

Sensors (Basel, Switzerland) Mar 22, 2024
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health problems related to eating disorders. Large, diverse, and clean data are essential for learning these types of algorithms. Although data can be collected au...
Food Algorithms Learning Neural Networks, Computer
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Automated detection and recognition system for chewable food items using advanced deep learning models.

Scientific reports Mar 19, 2024
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasing its cu...
Humans Deep Learning Food Records Mental Recall Recognition, Psychology
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Exploring the eating experience of a pneumatically-driven edible robot: Perception, taste, and texture.

PloS one Feb 5, 2024
This study investigated the effects of animated food consumption on human psychology. We developed a movable, edible robot and evaluated the participants' impressions induced by the visualization of its movements and eating of the robot. Although sev...
Movement Humans Food Mastication Robotics Taste Perception
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Can artificial intelligence (AI) replace oral food challenge?

The Journal of allergy and clinical immunology Jan 21, 2024
Food Basophils Food Hypersensitivity Allergens Humans Artificial Intelligence
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