Abstract: Numerous process items and procedures in the assembly process of a diesel engine have a direct and significant impact on its performance, and accurate and effective assembly process control ...
Abstract: The use of planar near-field measurements to determine antenna gain is widespread. However, the accuracy of the results is strongly dependent on the size of the sampling area, especially ...
Abstract: In the digital era, effective Transaction Fraud Detection (TFD) is essential to ensuring financial security. The considerable class imbalance, with legitimate transactions vastly ...
Abstract: A novel method for antenna far-field (FF) pattern reconstruction using sparse spherical near-field (SNF) measurements is presented. A conditional generative adversarial network (CGAN) is ...
Abstract: Model-free predictive current control (MFPCC) methods based on look-up tables (LUTs) have been widely applied in voltage source inverters (VSIs) due to their simple implementation and ...
Abstract: Active learning (AL) is a semi-supervised learning algorithm based on human-computer interaction. It aims to achieve satisfactory performance with less manual annotation costs. How to select ...
Abstract: This article presents a developed algorithm applied in the microwave diagnostics of electronic density distribution. The method is specifically designed for accurately reconstructing ...
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