Neural Machine Learning for Cold Chain Forecasting
Quelle: https://www.sciencedirect.com/science/article/pii/S235255412030358X
The application of neural network–based machine learning techniques to predict parameters and risks in the cold chain—such as temperature fluctuations, transit times, or spoilage—in order to optimize the storage, transport, and logistics of temperature-sensitive goods.
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