Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Qilian Liang,Wei Wang,Baoju Zhang Conference proceedings 2023 The Edit

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Visual Multi Scene Intelligent Car Service Platform Based on Internet of Things Technology,ontrol mode of multi lower computer management. At the same time, it can adopt the scheme of time-sharing processing to deal with the multi lower computer, so as to meet its various performance requirements. In this way, we can complete the service mode of more scenarios under the current technical

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Research and Design of Intelligent Monitoring System for Solar Energy Power Generation Based on GPR and the results of experimental test analysis show that the system can monitor and control the working parameters of the solar energy power generation system in real time, and provide real-time and efficient condition guarantee for the maintenance and repair of the solar energy power generation sys

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4.1.2.6 Coronal active regions,ts the node with the highest Q value as the destination node to find a path with less energy loss. The simulation results show that the route loss is reduced by about 15% and the average lifetime of the system is prolonged by about 10% by adding the consideration of routing loss and second-step tran

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Astronomy and Astrophysics Libraryme, we then employ a dual cross-modal attention module to reconstruct the fused image feature map and optical flow feature map, respectively. Therefore, both spatial and temporal cues of abnormal events could further deteriorate the quality of the final reconstructed frame, making the anomalies more

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Eugene F. Milone,Willam J.F. Wilsonxpectations, and the computer can receive the data accurately, which verifies the accuracy of the system.The system effectively improves the intelligence level of downhole operations in oilfields, and is conducive to promoting the development of a new era of digital oil extraction.

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Eugene F. Milone,William J. F. Wilsonn accuracy rate is higher. Compared with classification algorithms such as SVM and GBDT, random forests can balance the error of the data set, are insensitive to missing values, and the classification speed is fast, and the optimal detection accuracy of the model is 89.16%, which can effectively avo

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Eugene F. Milone,William J. F. Wilson and the results of experimental test analysis show that the system can monitor and control the working parameters of the solar energy power generation system in real time, and provide real-time and efficient condition guarantee for the maintenance and repair of the solar energy power generation sys

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