Foodborne disease symptoms, diagnostics, and predictions using artificial intelligence-based learning approaches: a systematic review

Y Kumar, I Kaur, S Mishra - Archives of Computational Methods in …, 2024 - Springer
Food-borne diseases have a high worldwide occurrence, substantially impacting public
health and the social economy. Most food-borne diseases are contagious or poisonous and …

A Review of the High-Performance Gas Sensors Using Machine Learning

S Yang, G Lei, H Xu, Z Lan, Z Wang, H Gu - Machine Learning for …, 2023 - Springer
High-performance gas sensors are of great importance to accurately identify/detect pollutant
gases and monitor their concentrations in the environment to ensure human safety in daily …

[HTML][HTML] A web-based model to predict a neurological disorder using ann

AA Almazroi, H Alamin, R Sujatha, NZ Jhanjhi - Healthcare, 2022 - mdpi.com
Dementia is a condition in which cognitive ability deteriorates beyond what can be
anticipated with natural ageing. Characteristically it is recurring and deteriorates gradually …

Identification of pork meat freshness using neural networks

JA Bacus - 2021 IEEE International Conference on Electronic …, 2021 - ieeexplore.ieee.org
Pork meat freshness level is a vital factor in determining its quality for consumption. Sensory
testing, physical and chemical testing, microbiological testing, and instrument analysis are …

Correlation-aided 3d vector distance estimation-based quality assessment of indian gooseberry

T Sarkar, A Mukherjee, K Chatterjee - … of The Institution of Engineers (India …, 2022 - Springer
In this paper, it has been developed a statistics-based method for the quality assessment
and classification of amla (Indian gooseberry). The proposed binary classification of the …

[HTML][HTML] Forecasting model and related index of pig population in China

F Zhang, F Wang, F Wang - Symmetry, 2021 - mdpi.com
The systematic and reasonable prediction of pig population is the basis for balance and
symmetry between the supply and demand of hogs, which is of great significance to the pig …

KNN Algorithm Optimization in GLCM-Based Beef and Pork Image Classification

B Sugiarto, CA Sari… - 2023 International Seminar …, 2023 - ieeexplore.ieee.org
Beef is the most consumed meat by the people of Indonesia. The increase in beef prices that
are getting higher from year to year makes beef producers commit fraud, namely by mixing …

Bubble-Sheet Assessment Checker with Test Grader Using Computer Vision Through Raspberry Pi

MG Wata, JF Villaverde - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
Manual checking of test papers is still one of the most tedious tasks of being an educator.
The immediate feedback of these exam results from the teachers enhances the student's …

Grade Classification of Chicken Eggs Through Computer Vision

HL Pacure Angelia, JM U. Bolo, CJ I. Eliot… - Proceedings of the …, 2021 - dl.acm.org
This paper explored the use of Region-Convolutional Neural Network (CNN) algorithm.
Classified through extracted region proposals from the picture a mere 2000 sections fed into …

[PDF][PDF] Forecasting Model and Related Index of Pig Population in China. Symmetry 2021, 13, 114

F Zhang, F Wang, F Wang - 2021 - pdfs.semanticscholar.org
The systematic and reasonable prediction of pig population is the basis for balance and
symmetry between the supply and demand of hogs, which is of great significance to the pig …