AIMC Topic: Quality Control
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Tea grading, blending, and matching based on computer vision and deep learning.
Journal of the science of food and agriculture
Dec 22, 2024
BACKGROUND: Accurate tea blending assessment and sample matching are critical in the tea production process. Traditional methods face efficiency and accuracy challenges, which can be addressed by advances in computer vision and deep learning. This st...
Cost-effectiveness analysis of AI-based image quality control for perinatal ultrasound screening.
BMC medical education
Dec 18, 2024
PURPOSE: This study aimed to compare the cost-effectiveness of AI-based approaches with manual approaches in ultrasound image quality control (QC).
Methodology for quality risk prediction for milk powder production plants with domain-knowledge-involved serial neural networks.
Food chemistry
Nov 17, 2024
In dairy enterprises, predicting product quality attributes that are influenced by operating parameters is a major task. To reduce quality loss in production, a prediction-based quality control method is proposed in this study. In particular, a seria...
Manual data labeling, radiology, and artificial intelligence: It is a dirty job, but someone has to do it.
Magnetic resonance imaging
Nov 16, 2024
In this letter to the editor, authors highlight the key role of data labeling in training AI models for medical imaging, discussing the complexities, resource demands, costs, and the relevance of quality control in the labeling process including the ...
Transfer learning in spirometry: CNN models for automated flow-volume curve quality control in paediatric populations.
Computers in biology and medicine
Nov 13, 2024
PROBLEM: Current spirometers face challenges in evaluating acceptability criteria, often requiring manual visual inspection by trained specialists. Automating this process could improve diagnostic workflows and reduce variability in test assessments.
Enhanced food authenticity control using machine learning-assisted elemental analysis.
Food research international (Ottawa, Ont.)
Nov 13, 2024
With the increasing attention being paid to the authenticity of food, efficient and accurate techniques that can solve relevant problems are crucial for improving public trust in food. This review explains two main aspects of food authenticity, namel...
Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters.
Food chemistry
Nov 12, 2024
Timely and effective detection of quality attributes during drying control is essential for enhancing the quality of fruit processing. Consequently, this study aims to employ hyperspectral imaging technology for the non-destructive monitoring of solu...
Simultaneous monitoring of two comprehensive quality evaluation indexes of frozen-thawed beef meatballs using hyperspectral imaging and multi-task convolutional neural network.
Meat science
Nov 10, 2024
The quality of beef meatballs during repeated freeze-thaw (F-T) cycles was assessed by multiple indicators. This study introduced a novel quality evaluation method using hyperspectral imaging (HSI) and multi-task learning. Seventeen quality indicator...
Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.
Scientific reports
Nov 8, 2024
The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply...
Assessment of pencil beam scanning proton therapy beam delivery accuracy through machine learning and log file analysis.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Nov 1, 2024
PURPOSE: Comprehensive Quality Assurance (QA) protocols are necessary for complex beam delivery systems like Pencil Beam Scanning (PBS) proton therapy. This study focuses on automating the evaluation of beam delivery accuracy using irradiation log fi...
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