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Impact Assessment of Food Safety News Using Stacking Ensemble Learning
[chapter]
2020
Advances in Transdisciplinary Engineering
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In this paper we present a method using stacking ensemble learning to assess the impact level of global food safety news. ...
by improving the accuracy of impact assessment of food safety news compared with traditionally used methods. ...
Acknowledgement This work is sponsored by National Natural Science Foundation of China (71601113, 71602114), Shanghai Science & Technology Committee Research Project (17040501700, 18DZ1206802) and Shanghai ...
doi:10.3233/atde200094
fatcat:yeynrelvzneprghskmaimfj3wm
Assessing the Influence Level of Food Safety Public Opinion with Unbalanced Samples Using Ensemble Machine Learning
2022
Scientific Programming
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To optimize the government's management of food safety affairs, a promising way is to use artificial intelligence to improve the efficiency of food safety public opinion assessment. ...
Assessing the public opinion on food safety events constitutes an important job of government regulators. ...
propose an ensemble learner to assess the impact of food safety news, which improves the accuracy of impact prediction [18] . ...
doi:10.1155/2022/8971882
fatcat:lohfxmieyjeajfqhujxkpqncbi
Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems
2021
Computational Intelligence and Neuroscience
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for preferable food safety guarantee. ...
rules for better decision-making, thereby maintaining the safety and sustainability of food product supply. ...
Risk Prediction Based on Machine Learning. In order to strengthening the safety of the extended food supply chain, a variety of new approaches have been introduced to meet these challenges. ...
doi:10.1155/2021/1194565
pmid:34804137
pmcid:PMC8598327
fatcat:jddvyv7qeje77klkj6uizc4k5i
Prediction of Marine Water Quality Index Using a Stacked Classifier Under Machine Learning Architecture
2022
Nature Environment and Pollution Technology
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This paper, therefore, presented an architecture of machine learning techniques to assist in classifying marine water quality. ...
Therefore, it is mandatory to assess the quality of the marine and ocean water to initiate any statutory measures to protect the regional marine water against pollution and dumping of toxic matter. ...
The World Health Organization (WHO) aggressively promoted the safety of human health while using recreational waters. ...
doi:10.46488/nept.2022.v21i05.015
fatcat:bidgzkayibdu3akudxzho5doja
Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring
2019
Applied Sciences
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Compared to base models, the ensemble model based on the stacked generalization framework was a significantly better predictor of the life satisfaction of a nation. ...
This work is a stacked generalization based on a novel approach that combines different machine-learning approaches to generate a meta-machine-learning model that further aids in maximizing prediction ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/app9081613
fatcat:e3t4be5ebzdhplqqyfi3wc7xhq
Application of Stacking-Based Ensemble Learning Model for Water Quality Prediction
2022
Asian Research Journal of Mathematics
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on the idea of Stacking integrated learning. ...
The results show that the stacking ensemble learning idea can effectively improve the prediction ability and generalization performance of the base model. ...
Acknowledgements Funding for this study comes from the 2022 Southwest University of Science and Technology University Student Innovation Fund Project. The project number is: CX22-066. ...
doi:10.9734/arjom/2022/v18i730391
fatcat:y6cawqy6ynh3jjtjfz76mi2sy4
Editorial for Special Issue "Digital Mapping in Dynamic Environments"
2020
Remote Sensing
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impact on the life sustaining functions we derive from our environment and the extent of our food producing systems. ...
These utilities not only provide high-resolution abilities to map the extent and changes to our food producing systems, they also have yielded new ways to determine land-use and climate effects on the ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs12203384
fatcat:pw4mrg6fdvbq3ljzdnwtyuje6a
Factors Contributing to SARS-CoV-2 Vaccine Hesitancy of Hispanic Population in Rio Grande Valley
2022
Vaccines
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Our analysis used machine learning methods to identify significant associations between medical, economic, and social factors impacting the uptake and willingness to receive the COVID-19 vaccine. ...
A combination of three classification methods (i.e., logistic regression, decision trees, and support vector machines) was used to classify observations based on the value of the targeted responses received ...
Unfortunately, SARS-CoV-2 has severely impacted their community, placing them at high risk of contracting the virus and developing severe COVID-19. ...
doi:10.3390/vaccines10081282
pmid:36016170
pmcid:PMC9413740
fatcat:ensukyx7fvgrzjxivajyfbt2ei
BigDataGrapes D9.3 – Dissemination and Awareness Report
2020
Zenodo
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, such as how to efficiently monitor and predict where careful vineyard management interventions should take place. ● Producers and packagers of food and wine products using grape by-products as ingredients ...
farm management and precision agriculture systems for companies in the agriculture sector. ● Software companies developing food risk assessment monitoring and prediction systems for companies in the food ...
It focuses on several use cases of the agri-food sector and one of them is the food safety use case. ...
doi:10.5281/zenodo.4546344
fatcat:qdv7awfj2jagdd7xz4b7lkd34u
Evaluation of cultivated land quality using attention mechanism-back propagation neural network
2022
PeerJ Computer Science
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Cultivated land quality is related to the quality and safety of agricultural products and to ecological safety. ...
However, most studies have used traditional methods to estimate cultivated land quality, and there is little research on using deep learning for this purpose. ...
ACKNOWLEDGEMENTS We would like to thank Professor Wei for his useful comments on the paper and Mrs. Ye for providing the data. ...
doi:10.7717/peerj-cs.948
pmid:35494807
pmcid:PMC9044315
fatcat:averncskzzgflchhtkhqj5r6ye
A comprehensive review on CRISPR and artificial intelligence based emerging food packaging technology to ensure "safe food"
2023
Sustainable Food Technology
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In the food industry, food quality and safety are vital, and in this case, appropriate packaging technology can significantly ensure the quality of food for consumers. ...
Acknowledgements This work was supported by the National Institute of Technology, Durgapur and DST-INSPIRE. ...
Moreover, transparency in use and accuracy of the outcome should be consistent with food safety regulations for the sensible deployment of new technologies. ...
doi:10.1039/d3fb00059a
fatcat:af5qtavh2jcw5czq6puk5d6ymm
A Weighted Voting Deep Learning Approach for Plant Disease Classification
2021
Journal of Computer Science
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The proposed approach is based on a weighted combination of five deep learning architectures. The weight of each DL architecture is calculated based on its performance using genetic algorithms. ...
It is found that using the Deep Learning weighted voting method gives higher classification accuracy compared to the results obtained using each DL architecture separately and also compared to recent approaches ...
Acknowledgment We would like to express our gratitude and thank you to the LISAC laboratory, the Faculty of Sciences, the University Sidi Mohamed Ben Abdellah, Fez, Morocco for the funding and those who ...
doi:10.3844/jcssp.2021.1172.1185
fatcat:nq4xyzpbgraa5amyldxqto42ne
Deliverable 4.4 Report on instruments for the identification of R&I breakthroughs for the future
2020
Zenodo
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materials that could be used in workshops, events, or educational modules in which a similar exercise is performed. ...
The focus of this working group (for task 4.4) has been on the instruments for the identification of R&I breakthroughs for the future. ...
In addition, it could be aspired to reach the demand from the society on reducing animal tests for the safety assessment of ingredients and foods. ...
doi:10.5281/zenodo.4600822
fatcat:dunagoshhfhi5gf4oqhkjrpktm
Use of social media, search queries, and demographic data to assess obesity prevalence in the United States
2019
Palgrave Communications
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Next, we inferred the gender of Twitter users using machine learning methods and applied mixed-effects state-level linear regression models to estimate obesity prevalence. ...
We observed differences in discussions of physical activity and foods, with males reporting higher intensity physical activities and lower caloric foods across 40 and 48 states, respectively. ...
We combined the prediction from all three classification methods using an ensemble approachweighted stacked logistic regression (Wolpert, 1992) . ...
doi:10.1057/s41599-019-0314-x
pmid:32661492
pmcid:PMC7357895
fatcat:4zfiycm55zdzjiylrzacvb7rom
Deep Learning and Machine Vision for Food Processing: A Survey
[article]
2021
arXiv
pre-print
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Image processing can take advantage of machine learning and deep learning models to effectively identify the type and quality of food. ...
The quality and safety of food is an important issue to the whole society, since it is at the basis of human health, social development and stability. ...
The food industry and consumers urgently need rapid, non-destructive ways to assess the safety and quality of food. ...
arXiv:2103.16106v1
fatcat:jr3pw7a6inf2tlpef3fk3p2xma
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