Results 11 to 20 of about 739,642 (309)
CASP 11 target classification. [PDF]
Proteins, 2016 ABSTRACTProtein target structures for the Critical Assessment of Structure Prediction round 11 (CASP11) and CASP ROLL were split into domains and classified into categories suitable for assessment of template‐based modeling (TBM) and free modeling (FM) based on their evolutionary relatedness to existing structures classified by the Evolutionary ...
Kinch LN +6 more
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Simultaneous Target Classification and Moving Direction Estimation in Millimeter-Wave Radar System. [PDF]
Sensors (Basel), 2021 In this study, we propose a method to identify the type of target and simultaneously determine its moving direction in a millimeter-wave radar system. First, using a frequency-modulated continuous wave (FMCW) radar sensor with the center frequency of 62 ...
Kim JC, Jeong HG, Lee S.
europepmc +2 more sources
A Weighted Decision-Level Fusion Architecture for Ballistic Target Classification in Midcourse Phase. [PDF]
Sensors (Basel), 2022 The recognition of warheads in the target cloud of the ballistic midcourse phase remains a challenging issue for missile defense systems. Considering factors such as the differing dimensions of the features between sensors and the different recognition ...
Wei N, Zhang L, Zhang X.
europepmc +2 more sources
CASP9 target classification. [PDF]
Proteins, 2011 AbstractThe Critical assessment of protein structure prediction round 9 (CASP9) aimed to evaluate predictions for 129 experimentally determined protein structures. To assess tertiary structure predictions, these target structures were divided into domain‐based evaluation units that were then classified into two assessment categories: template based ...
Kinch LN +7 more
europepmc +6 more sources
Acoustic target classification. [PDF]
, 2018 Species identification is “the grand challenge” (MacLennan and Holliday, 1996) for acoustic methods used to estimate fish abundance (Simmonds and MacLennan, 2005). Acoustic survey methods are continuously improved to increase the accuracy of acoustic classification and thereby reduce the uncertainty of abundance estimates.
Rolf J. Korneliussen
openalex +4 more sources
HF Radar Signatures and Their Use for Target Classification, Recognition and Identification [PDF]
Sensors (Basel)The challenging goal of equipping HF radars with a target classification ability has been pursued for many years, yet no satisfactory system-level methodology has been reported.
Stuart Anderson
europepmc +2 more sources
Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar
Sensors, 2016 The passive bistatic radar (PBR) system can utilize the illuminator of opportunity to enhance radar capability. By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and ...
Raja Syamsul Azmir Raja Abdullah +2 more
exaly +3 more sources
IEEE Access, 2021 Accurate detection and tracking of birds and drones are of great significance in various low altitude airspace surveillance scenarios. Radar is currently the most proper long range surveillance technology for this problem but also challenged by various ...
Jia Liu, Qun Yu Xu, Wei Shi Chen
doaj +1 more source
Complex-Valued Sparse SAR-Image-Based Target Detection and Classification
Remote Sensing, 2022 It is known that synthetic aperture radar (SAR) images obtained by typical matched filtering (MF)-based algorithms always suffer from serious noise, sidelobes and clutter. However, the improvement in image quality means that the complexity of SAR systems
Chen Song +5 more
doaj +1 more source
Leida xuebao, 2022 Convolutional Neural Networks (CNNs) are widely used in optical image classification. In the case of Synthetic Aperture Radar (SAR) images, obtaining sufficient training examples for CNNs is challenging due to the difficulties in and high cost of data ...
Xiaoling LYU +3 more
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