Results 31 to 40 of about 9,352 (255)
Leida xuebao, 2023 Marine target detection and recognition depend on the characteristics of marine targets and sea clutter. Therefore, understanding the essential features of marine targets based on the measured data is crucial for advancing target detection and ...
Jian GUAN +7 more
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Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition [PDF]
, 2006 Kernel fisher discriminant analysis (KFDA) has received extensive study in recent years as a dimensionality reduction technique. KFDA always encounters an intrinsic singularity of scatter matrices in the feature space, namely ‘small sample size' (SSS) problem. Several novel methods have been proposed to cope with this problem.
Ling Wang 0003, Liefeng Bo, Licheng Jiao
openaire +1 more source
Advanced Functional Materials, EarlyView.Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang +11 more
wiley +1 more source
Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring
Advanced Functional Materials, EarlyView.A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng +4 more
wiley +1 more source
A Deep Learning-Based Satellite Target Recognition Method Using Radar Data
Sensors, 2019 A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu +4 more
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Modal ordered shape factors as radar feature set
IET Radar, Sonar & NavigationThe characteristic polarisation states form a second layer feature set by reflecting shape attributes about that target, enabling better identification performance of the resonance signature.
Salem Salamah, Faisal Aldhubaib
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Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
Sensors, 2013 This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
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Data Separability Metric to Evaluate Radar Target Recognition
Leida xuebao, 2023 The performance of machine learning-based radar target recognition models is determined by the respective model and data to be analyzed. Currently, radar target recognition performance evaluation is based on accuracy metrics, but this method does not ...
Weidong JIANG, Lingyan XUE, Xinyu ZHANG
doaj +1 more source
Ultralow‐Dispersion Silicon THz Photonic Crystal Interconnects for Multichannel Datalinks
Advanced Materials, EarlyView.An all‐silicon terahertz photonic crystal waveguide interconnect enables 452 Gbps aggregate data transfer through seven complex‐modulated channels. By revealing the impact of ultralow dispersion on link performance and achieving a record interconnect figure of merit, the work advances centimeter‐scale THz on‐chip communication for future data‐centre ...
Nikhil Navaratna +4 more
wiley +1 more source