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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …