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A multimodal fusion method for Alzheimer’s disease based on DCT convolutional sparse representation
Frontiers in Neuroscience, 2023 IntroductionThe medical information contained in magnetic resonance imaging (MRI) and positron emission tomography (PET) has driven the development of intelligent diagnosis of Alzheimer’s disease (AD) and multimodal medical imaging. To solve the problems
Guo Zhang +8 more
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Cops and Robbers on Dynamic Graphs: Offline and Online Case [PDF]
Discrete Mathematics & Theoretical Computer Science, 2023 We examine the classic game of Cops and Robbers played on models of dynamic graphs, that is, graphs evolving over discrete time steps. At each time step, a graph instance is generated as a subgraph of the underlying graph of the model.
Stefan Balev +4 more
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Enhanced Root-MUSIC Algorithm Based on Matrix Reconstruction for Frequency Estimation
Sensors, 2023 In recent years, frequency-modulated continuous wave (FMCW) radar has been widely used in automatic driving, settlement monitoring and other fields. The range accuracy is determined by the estimation of the signal beat frequency.
Yingjie Zhu +3 more
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A Novel Texture Extraction-Based Compressive Sensing for Lung Cancer Classification
Journal of Medical Signals and Sensors, 2022 Background: Lung cancer images require large memory storage and transmission bandwidth for sending the data. Compressive sensing (CS), as a method with a statistical approach in signal sampling, provides different output patterns based on information ...
Indrarini Dyah Irawati +4 more
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Frontiers in Genetics, 2023 Background: With the rapid development of high-throughput sequencing technology and the explosive growth of genomic data, storing, transmitting and processing massive amounts of data has become a new challenge.
Youde Ding +10 more
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Sparse HJ Biplot: A New Methodology via Elastic Net
Mathematics, 2021 The HJ biplot is a multivariate analysis technique that allows us to represent both individuals and variables in a space of reduced dimensions. To adapt this approach to massive datasets, it is necessary to implement new techniques that are capable of ...
Mitzi Cubilla-Montilla +3 more
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GNSS Signal Acquisition Algorithm Based on Two-Stage Compression of Code-Frequency Domain
Applied Sciences, 2022 The recently-emerging compressed sensing (CS) theory makes GNSS signal processing at a sub-Nyquist rate possible if it has a sparse representation in certain domain.
Fangming Zhou +6 more
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A Sparse Denoising-Based Super-Resolution Method for Scanning Radar Imaging
Remote Sensing, 2021 Scanning radar enables wide-range imaging through antenna scanning and is widely used for radar warning. The Rayleigh criterion indicates that narrow beams of radar are required to improve the azimuth resolution.
Qiping Zhang +4 more
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Impact of Sparse and Dense Deployment of Nodes Under Different Propagation Models in Manets
Advances in Distributed Computing and Artificial Intelligence Journal, 2020 Mobile Ad-hoc Network (MANET) is the most emerging and fast-expanding technology in the last two decades. One of the major issues and challenging areas in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes.
Altaf Hussain +3 more
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Orbit Determination Using SLR Data for STSAT-2C:Short-arc Analysis [PDF]
Journal of Astronomy and Space Sciences, 2015 In this study, we present the results of orbit determination (OD) using satellite laser ranging (SLR) data for the Science and Technology Satellite (STSAT)-2C by a short-arc analysis.
Young-Rok Kim +3 more
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