Results 31 to 40 of about 1,270 (180)
Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism [PDF]
In this paper, we integrate the advantages of convolutional neural network (CNN) and bidirectional recurrent neural network (BiRNN) with attention mechanism, and propose a CNN-BiRNN based method to recognize the individual high resolution range profile (HRRP).
Jinwei Wan +5 more
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Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
doaj +1 more source
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
Usually radar target recognition methods only use a single type of high-resolution radar signal, e.g., high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In fact, in the SAR imaging procedure, we can simultaneously obtain both
Lan Du +5 more
doaj +1 more source
Radar HRRP recognition based on CNN [PDF]
In this study, ground target recognition based on one‐dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high‐resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially, CNN can automatically discover features for classification.
Jia Song +4 more
openaire +2 more sources
Sparse Autoencoder Based Manifold Analyzer Model of Multi-Angle Target Feature
Automatic target recognition (ATR) has always been an important research topic, and the performance is affected by feature extraction. High-resolution range profiles (HRRP) contains structural information of target from different angles.
Xiuyuan Chen +3 more
doaj +1 more source
Robust Automatic Target Recognition via HRRP Sequence Based on Scatterer Matching
High resolution range profile (HRRP) plays an important role in wideband radar automatic target recognition (ATR). In order to alleviate the sensitivity to clutter and target aspect, employing a sequence of HRRP is a promising approach to enhance the ATR
Yuan Jiang +4 more
doaj +1 more source
Background: On average Black patients have longer LOS than comparable White patients. Longer hospital length of stay (LOS) may be associated with higher readmission risk.
Arnab K. Ghosh +3 more
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Survey of Radar HRRP Target Recognition Based on Parametric Statistical Model
In the gradually becoming information-based and intelligent modern warfare, Radar Automatic Target Recognition (RATR) technology plays an increasingly important role in military applications, such as national security defense and strategic early warning.
Jian CHEN, Lan DU, Leiyao LIAO
doaj +1 more source
Is the Hospital Value-Based Purchasing Program Associated with Reduced Hospital Readmissions?
Bradley Beauvais,1 Zachary Whitaker,2 Forest Kim,2 Benjamin Anderson3 1Texas State University, San Marcos, TX, USA; 2Baylor University, Waco, TX, USA; 3Colorado Hospital Association, Greenwood Village, CO, USACorrespondence: Bradley Beauvais, Tel +210 ...
Beauvais B +3 more
doaj
Radar Target Recognition by Convolutional Capsule Networks Based on High-Resolution Range Profile
Automatic target recognition (ATR) is of increasing importance for the modern radar system, where the high-resolution range profile (HRRP) is essential.
Xianwen Zhang +3 more
doaj +1 more source

