Results 21 to 30 of about 739,642 (309)
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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Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters.
Jiarui Deng +4 more
doaj +1 more source
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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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Cancers, 2021 Ependymoma is a biologically diverse tumor wherein molecular classification has superseded traditional histological grading based on its superior ability to characterize behavior, prognosis, and possible targeted therapies.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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Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples
IEEE Access, 2020 Deep learning (DL) have been intensively exploited for synthetic aperture radar (SAR) target classification, and we have witnessed exciting performances provided by previous studies.
Zhaohui Xue, Mengxue Zhang
doaj +1 more source
Detection, classification, and tracking of targets [PDF]
IEEE Signal Processing Magazine, 2002 Networks of small, densely distributed wireless sensor nodes are being envisioned and developed for a variety of applications involving monitoring and the physical world in a tetherless fashion. Typically, each individual node can sense in multiple modalities but has limited communication and computation capabilities.
Dan Li +3 more
openaire +1 more source
Applied Sciences, 2020 Detection and classification of unidentified underwater targets maneuvering in complex underwater environments are critical for active sonar systems.
Seungwoo Lee +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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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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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
doaj +1 more source