Feb 28, 2018 · In order to solve the problem of local overheating, this paper proposes a deep learning algorithm based on multidimensional data to construct an ...
In order to solve the problem of local overheating, this paper proposes a deep learning algorithm based on multi-dimensional data to construct an anomaly ...
A deep learning algorithm based on multi-dimensional data to construct an anomaly detection model for detecting local overheating is proposed and experiment ...
Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning. Modular Instrument for a Haptically-Enabled Robotic ...
Learning to detect local overheating of the high-power microwave heating process with deep learning. K Wang, L Ma, Q Xiong, S Liang, G Sun, X Yu, Z Yao, T Liu.
Sep 14, 2024 · The neural network is employed to identify the microwave heating system and ensure uniform heat distribution during the heating process. The ...
Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning. Article. Full-text available. Feb 2018. Kai Wang ...
Mar 29, 2022 · Liu, “Learning to Detect Local Overheating of the High-Power Microwave Heating Process With Deep Learning,” IEEE Access, vol. 6, pp. 10288 ...
This study tackles the difficulty of efficient and accurate modelling in microwave heating by combining convolutional neural networks (CNNs) with traditional ...
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Aug 29, 2021 · This paper extensively reviews the mechanistic models with different geometric dimensions and physics/kinetics that simulated the microwave heating process.