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![Fig. 2. Processing flow [13]](profile/Tauheed-Khan-Mohd/publication/370048487/figure/fig1/AS:11431281147163272@1681590581675/Processing-flow-13_Q320.jpg)
![Fig. 3. The system screen [13]](profile/Tauheed-Khan-Mohd/publication/370048487/figure/fig2/AS:11431281147191760@1681590581797/The-system-screen-13_Q320.jpg)
![Fig. 4. Overview of recommendation[29]](profile/Tauheed-Khan-Mohd/publication/370048487/figure/fig3/AS:11431281147172074@1681590582256/Overview-of-recommendation29_Q320.jpg)
Home-cooked meals have drawn increased attention since the outbreak as people have had more time for their families and for themselves. Undoubtedly, individuals have more time to prepare meals, and cooking at home is safer because one can avoid direct contact with others who might carry the F0 or F1 virus. As a result, the proportion of people who...
Context in source publication
Context 1
... that, in step 3, conduct an internet cooking search for the name of the detected food ingredient will be used as a search keyword in recipe databases to generate a menu list. If a user want to look for recipes connected to candidates other than the top one, the user can do so by tapping the screen and selecting one of the top six ingredients as shown in figure 3. In step 4, the software will display the acquired menu list on the left side. ...
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Resumo Objetivos: caracterizar a disponibilidade e a qualidade nutricional dos menus infantis nos restaurantes e estabelecimentos de fast-foods em Shoppings Centers no Brasil. Métodos: trata-se de um estudo observacional e transversal. Os dados foram coletados nos websites de cada estabelecimento e em aplicativos de vendas de alimentos, com questio...
Citations
Fishery meteorology has multiple impacts on the fisheries industry, especially in modern fishery industrial parks where renewable energy is extensively utilized. Therefore, this study developed a comprehensive fishery meteorological information terminal, based on the Android system, that considers the requirements of fish farming, fishery load, and the characteristics of renewable energy for fishery meteorology. This terminal aims to provide convenient and comprehensive information services to aquaculturists actively involved in modernizing the fisheries industry. The system consists of two main subsystems: the fishery subsystem and the weather subsystem. In the fishery subsystem, real-time monitoring and recording of fishery meteorology and related parameters can be achieved. In the weather subsystem, the demand for photovoltaic energy in weather forecasting is emphasized. A weather prediction model based on LSTM is used for hourly weather forecasting. The model is trained on meteorological station data by default, and users can also upload photovoltaic station data to obtain a model trained on such data. The system can retain two models simultaneously, and when one of the datasets is unavailable, the available data is used to make predictions on the corresponding model to ensure service stability. Additionally, we conducted experiments to verify the performance loss brought by deploying the model on the edge using TensorFlow Lite. The results show that when the memory usage is reduced to 1/33 of the original, the model still retains over 99% of its performance.
