This research studies the effects of three noise jamming techniques on the performance of a hybrid multistatic radar network in a selection of different electronic warfare (EW) situations.The performance metrics investigated are the range and velocity estimation errors found using the Cramér-Rao lower bounds (CRLBs).The hybrid multistatic ne
In this study, we introduce two innovative hybrid models designed for predicting individual pharmacy costs: the Autoencoder-Gated Recurrent Unit (Auto-GRU) and the GoogLeNet-Residual Network (GR-Net).Utilizing data from high utilizers obtained through the Medicaid rebate program, these Coats models aim to provide accurate predictions of total pharm
Producers and exporters of fresh fruits and vegetables from developingcountries like Brazil are increasingly required to demonstrate the safety andtraceability of their produce up to the consumption stage.In fact, the Brazilianexport market is still relatively underdeveloped, with an export share of only2.4% of the total produced volume.However, ce
For a better detection in Network information security monitoring system, the author proposes a method based on adaptive depth detection.A deep belief network (DBN) was designed and implemented, and the intrusion detection system model was combined with a support vector machine (SVM).The data set adopts the NSL-KDD network communication data set, a