Topological Signal Processing from Stereo Visual SLAM [PDF]
SensorsTopological signal processing is emerging alongside Graph Signal Processing (GSP) in various applications, incorporating higher-order connectivity structures—such as faces—in addition to nodes and edges, for enriched connectivity modeling.
Eleonora Di Salvo +4 more
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder [PDF]
Scientific ReportsAutism spectrum disorder (ASD) is a complex neurodevelopmental condition associated with disrupted brain connectivity. Traditional graph-theoretical approaches have been widely employed to study ASD biomarkers; however, these methods are often limited to
Ayesha Jabbar +4 more
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State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools [PDF]
Sensors, 2023 This paper considers the problem of estimating the states in an unobservable power system, where the number of measurements is not sufficiently large for conventional state estimation.
Lital Dabush +2 more
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Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences [PDF]
Sensors, 2023 As a low-cost demand-side management application, non-intrusive load monitoring (NILM) offers feedback on appliance-level electricity usage without extra sensors.
Bochao Zhao +3 more
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Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks [PDF]
Journal of Medical Signals and SensorsBackground: Accurate classification of electroencephalogram (EEG) signals is challenging given the nonlinear and nonstationary nature of the data as well as subject-dependent variations.
Maliheh Miri +4 more
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Neuroadaptive changes in brain structural–functional coupling among pilots [PDF]
Frontiers in NeuroscienceBackgroundInvestigating the neural mechanisms underlying pilots’ brains is crucial for enhancing aviation safety. However, prior research has predominantly focused on identifying structural and functional differences in the brain, while the relationship ...
Xi Chen +9 more
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Kernelized multiview signed graph learning for single-cell RNA sequencing data [PDF]
BMC Bioinformatics, 2023 Background Characterizing the topology of gene regulatory networks (GRNs) is a fundamental problem in systems biology. The advent of single cell technologies has made it possible to construct GRNs at finer resolutions than bulk and microarray datasets ...
Abdullah Karaaslanli +3 more
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Decoding preparatory movement state-based motor imagery with multi layer energy decoder [PDF]
Journal of NeuroEngineering and RehabilitationBackground Motor imagery (MI) is a widely used paradigm in brain-computer interface (BCI) research due to its potential applications in areas such as motor rehabilitation.
Yuxin Zhang +4 more
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Research on a Wind Turbine Gearbox Fault Diagnosis Method Using Singular Value Decomposition and Graph Fourier Transform [PDF]
SensorsGearboxes operate in challenging environments, which leads to a heightened incidence of failures, and ambient noise further compromises the accuracy of fault diagnosis.
Lan Chen +3 more
doaj +2 more sources
An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG [PDF]
npj Digital MedicineParkinson’s disease (PD) exhibits significant clinical heterogeneity, presenting challenges in the identification of reliable electroencephalogram (EEG) biomarkers. Machine learning techniques have been integrated with resting-state EEG for PD diagnosis,
Shuzhi Zhao +11 more
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