Food safety event detection based on multi-feature fusion

K Xiao, C Wang, Q Zhang, Z Qian - Symmetry, 2019 - mdpi.com
Food safety event detection is a technique used to discover food safety events by monitoring
online news. In general, a set of keywords are extracted as features to represent news, and …

The Application of Automatic Identification System Information and PSO‐LSTM Neural Network in CRI Prediction

W Zhou, Y Li, Y Xiao, J Zheng - Computational Intelligence and …, 2022 - Wiley Online Library
Considering that collision accidents happen sometimes, it is necessary to predict the
collision risk to ensure navigation safety. With the information construction in maritime and …

The regulatory warning model of regional product quality based on the back-propagation artificial neural network

C Liu, T Yu - Neural Computing and Applications, 2020 - Springer
Accidents of product quality occur in food, medicine and industrial products, posing a major
risk to consumers. Prediction and control of accidents spread are difficult, mainly due to the …

An improved OIF Elman neural network based on CSO algorithm and its applications

Y Zhang, J Zhao, L Wang, H Wu, R Zhou… - Computer Communications, 2021 - Elsevier
In order to prevent air pollution and improve the living environment for residents, it is
particularly important to carry out air quality forecasting. Air quality is affected by many …

Prediction of Safety Risk Levels of Benzopyrene Residues in Edible Oils in China Based on the Variable-Weight Combined LSTM-XGBoost Prediction Model

C Hao, Q Zhang, S Wang, T Jiang, W Dong - Foods, 2023 - mdpi.com
To assess and predict the food safety risk of benzopyrene (BaP) in edible oils in China, this
study collected national sampling data of edible oils from 20 Chinese provinces and their …

Heterogeneous graph attention network for food safety risk prediction

Y Shi, K Zhou, S Li, M Zhou, W Liu - Journal of Food Engineering, 2022 - Elsevier
Food risk analysis technique is of great significance in human health and safety. This paper
investigates the issue of food safety risk identification and early warning based on …

A proposed metaverse framework for food security based-IoT network and machine learning

LM Abou El-Magd, NMM Abdelnapi, A Darwish… - The Future of Metaverse …, 2023 - Springer
Metaverse is a digital environment that enables user interaction. It is evolving into a parallel
universe in which people can work, play, and interacts. Using mixed reality (MR) technology …

[Retracted] Information System Security Evaluation Algorithm Based on PSO‐BP Neural Network

Q Zheng - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
With the deepening of big data and the development of information technology, the country,
enterprises, organizations, and even individuals are more and more dependent on the …

A CNN-LSTM model for tailings dam risk prediction

J Yang, J Qu, Q Mi, Q Li - Ieee Access, 2020 - ieeexplore.ieee.org
Tailings ponds are places for storing industrial waste. Once the tailings pond collapses, the
villages nearby will be destroyed and the harmful chemicals will cause serious …

The application of big data mining in risk warning for food safety

Y Wang, B Yang, Y Luo, J He… - Asian Agricultural …, 2015 - ageconsearch.umn.edu
Comprehensive evaluation and warning is very important and difficult in food safety. This
paper mainly focuses on introducing the application of using big data mining in food safety …