Food adulteration detection using artificial intelligence: A systematic review
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 …
been a major concern due to its risk to public health, reduction of food quality or nutritional …
Artificial intelligence aided adulteration detection and quantification for red chilli powder
Food adulteration imposes a significant health concern on the community. Being one of the
key ingredients used for spicing up food dishes. Red chilli powder is almost used in every …
key ingredients used for spicing up food dishes. Red chilli powder is almost used in every …
Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data
Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
Comparing autoencoder variants for real-time denoising of hyperspectral X-ray
Hyperspectral X-ray analysis is used in many industrial pipelines, from quality control to
detection of low-density contaminants in food. Unfortunately, the signal acquired by X-ray …
detection of low-density contaminants in food. Unfortunately, the signal acquired by X-ray …
Multitask learning for denoising and analysis of X-ray polymer acquisitions
X-ray acquisitions are beneficial in food contaminant analysis as they can detect both
metallic and non-metallic objects. This paper considers the scenario of single-pixel …
metallic and non-metallic objects. This paper considers the scenario of single-pixel …
Pattern discovery from big data of food sampling inspections based on extreme learning machine
Y Liu, X Li, J Wang, F Chen, J Wang, Y Shi… - Research and Practical …, 2018 - Springer
Food sampling programs are implemented from time to time in local areas or throughout the
country in order to guarantee food safety and to improve food quality. The hidden patterns in …
country in order to guarantee food safety and to improve food quality. The hidden patterns in …
[PDF][PDF] Food Adulteration Detection using Artificial Intelligence: A Systematic
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 …
been a major concern due to its risk to public health, reduction of food quality or nutritional …
[PDF][PDF] Automatic Diabetic Foot Ulcer Recognition Using Multi-Level Thermographic Image Data. Diagnostics 2023, 13, 2637
Lower extremity diabetic foot ulcers (DFUs) are a severe consequence of diabetes mellitus
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
(DM). It has been estimated that people with diabetes have a 15% to 25% lifetime risk of …
[PDF][PDF] 基于QT 的全自动化学发光免疫分析仪上位机系统
赵五明， 张欣欣， 翟炯， 马松松， 高凯轩… - 计算机与数字 …, 2018 - jsj.journal.cssc709.net
摘要为了保障全自动化学发光仪有效地应用于食品安全检测领域, 在系统任务详细分析的基础上
, 利用QT 集成开发环境开发了一个新型全自动化学发光免疫分析仪的上位机系统 …
, 利用QT 集成开发环境开发了一个新型全自动化学发光免疫分析仪的上位机系统 …
Desarrollo de sistemas para la medición de radiaciones ionizantes
OD Lupi, IJ Zaradnik, HA Soares, G Panza… - 2021 - repositoriocyt.unlam.edu.ar
La radiación es un fenómeno natural por el que un núcleo atómico emite uno o varios tipos
de partículas, transmutándose a un estado de menor energía. Los tipos más frecuentes son …
de partículas, transmutándose a un estado de menor energía. Los tipos más frecuentes son …