Results 1 to 10 of about 9,524 (116)
YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems
Sensors, 2020 This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals.
Woosuk Kim +4 more
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SAR Target Classification Based on Deep Forest Model
Remote Sensing, 2020 Synthetic aperture radar (SAR) has become one of the most important means of information acquisition in today’s society and shows great potential in many fields. Target identification and classification of SAR images are also the focus of research.
Jiahuan Zhang, Hongjun Song, Binbin Zhou
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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 +4 more
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Target Classification Using Frontal Images Measured by 77 GHz FMCW Radar through DCNN
Applied Sciences, 2022 This paper proposes a target classification method using radar frontal imaging measured by millimeter-wave multiple-input multiple-output (MW-MIMO) radar through deep convolutional neural networks.
Mohamed Elbeialy +3 more
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CASP9 target classification [PDF]
Proteins: Structure, Function, and Bioinformatics, 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, Lisa N. +7 more
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CASP5 target classification [PDF]
Proteins: Structure, Function, and Genetics, 2003 This report summarizes the Critical Assessment of Protein Structure Prediction (CASP5) target proteins, which included 67 experimental models submitted from various structural genomics efforts and independent research groups. Throughout this special issue, CASP5 targets are referred to with the identification numbers T0129-T0195.
Kinch, Lisa N +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Nowadays, the developed deep neural networks (DNNs) have been widely applied to synthetic aperture radar (SAR) image interpretation, such as target classification and recognition, which can automatically learn high-level semantic features in data-driven ...
Hao Pei +4 more
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Targeted Land-Cover Classification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2014 This paper addresses a specific typology of land-cover classification problems, hereinafter referred to as “targeted land-cover classification,” where the objective is the identification of only one or few specific “targeted” land-cover classes of interest, disregarding all the other potential classes present in the area under analysis.
Marconcini, Mattia +2 more
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Design and Test of a Sorting Device Based on Machine Vision
IEEE Access, 2020 At present, the sorting of agricultural products in China mainly relies on manual labour, which results in low efficiency, and the development of corresponding automatic equipment lags behind.
Kai Zhou +4 more
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Molecular Classification and Therapeutic Targets in Ependymoma [PDF]
Cancers, 2021 Ependymoma is a biologically diverse tumor wherein molecular classification has superseded traditional histological grading based on its superior ability to characterize behavior, prognosis, and possible targeted therapies. The current, updated molecular classification of ependymoma consists of ten distinct subgroups spread evenly among the spinal ...
Thomas Larrew +3 more
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