The Analysis of Nutrition Toxicology Detection Based on Big Data and Deep Learning
Public health and safety are increasingly concerned as public awareness of health-related issues grows. To find a rapid, convenient, and non-destructive testing method for detecting human nutritional toxicology detection, this study selects sildenafil, phenolphthalein, and metformin hydrochloride&am...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10328874/ |