Results 1 to 10 of about 391,649 (120)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Remote Sensing Image Destriping Model Based on Low-Rank and Directional Sparse Constraint
Remote Sensing, 2021 Stripe noise is a common condition that has a considerable impact on the quality of the images. Therefore, stripe noise removal (destriping) is a tremendously important step in image processing.
Xiaobin Wu +4 more
doaj +1 more source
The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography
Journal of Innovative Optical Health Sciences, 2022 Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse
Zezheng Qin +4 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
International Journal of Technology, 2020 Cancer is one of the leading causes of death, and the brain is one of the body’s cancer-prone organs. The early detection of brain tumors can reduce cancer risk, which is practically assisted and conducted using scanners such as computed ...
Hermawan Rahman Sholeh +2 more
doaj +1 more source