Results 31 to 40 of about 1,748 (212)
Sensors, 2020 In the conventional neural network, deep depth is required to achieve high accuracy of recognition. Additionally, the problem of saturation may be caused, wherein the recognition accuracy is down-regulated with the increase in the number of network ...
Zhequan Fu +4 more
doaj +1 more source
Comparison of recreated HRRP penalty status for FY2015b'*' with simulated penalties for 1,000 hypothetical fiscal years. [PDF]
, 2021 Comparison of recreated HRRP penalty status for FY2015b'*' with simulated penalties for 1,000 hypothetical fiscal years.
Andrew D. Wilcock (11864499) +6 more
core +1 more source
An Adaptive Feature Learning Model for Sequential Radar High Resolution Range Profile Recognition
Sensors, 2017 This paper proposes a new feature learning method for the recognition of radar high resolution range profile (HRRP) sequences. HRRPs from a period of continuous changing aspect angles are jointly modeled and discriminated by a single model named the ...
Xuan Peng +3 more
doaj +1 more source
Inquiry: The Journal of Health Care Organization, Provision, and Financing, 2020 In 2013, the Centers for Medicare and Medicaid Services (CMS) implemented the Hospital Readmissions Reduction Program (2013 HRRP), which financially penalized hospitals if their 30-day readmissions were higher than the national average. Without adjusting
Hsueh-Fen Chen PhD +3 more
doaj +1 more source
Rhizobial peptidase HrrP cleaves host-encoded signaling peptides and mediates symbiotic compatibility [PDF]
, 2014 Legume–rhizobium pairs are often observed that produce symbiotic root nodules but fail to fix nitrogen. Using the Sinorhizobium meliloti and Medicago truncatula symbiotic system, we previously described several naturally occurring accessory plasmids ...
Dillon, Brett A. +5 more
core +1 more source
Novel approach for ballistic targets classification from HRRP frame [PDF]
, 2017 Nowadays the challenge of the identification of Ballistic Missile (BM) warheads in a cloud of decoys and debris is essential for the defence system in order to optimize the use of ammunition resources avoiding to run out of all the available interceptors
Clemente, Carmine +7 more
core +1 more source
Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism [PDF]
IEEE Access, 2020 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
openaire +2 more sources
Radar HRRP Measurement of Ships
Journal of Physics: Conference Series, 2019 Abstract High resolution range profile (HRRP) has become an important research direction in the field of radar target recognition. Measuring the one-dimensional HRRPs of targets and analyzing their characteristics have great significance and practical application value to target recognition.
Mingbo Zhu, Minghao Sun, Xiangrong Ding
openaire +1 more source
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
Remote Sensing, 2021 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]
The Journal of Engineering, 2019 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