Integrating short-time linear canonical transform and joint space-time-frequency analysis for advanced representation of subsurface information in ground penetrating radar. [PDF]
Liu C, Han P, Kang J.
europepmc +1 more source
Data‐Driven Fault Diagnosis of Drilling Tools: Methods and Applications
Drilling tools are of paramount importance for mechanical metal cutting. Breakage or wear in the drilling tool can result in catastrophic failure, reduced dimensional accuracy, and poor surface finish. Therefore, it is imperative to continuously monitor drilling tools. In addition, it has been demonstrated that the mechanical metal‐cutting industry can
Chandan M. N+5 more
wiley +1 more source
Advanced heart disease classification based on multi-channel heart sound coupling features. [PDF]
Fang Y+5 more
europepmc +1 more source
Reduced Vestibular Function is Associated With Cortical Surface Shape Changes in the Frontal Cortex
We identified significant cortical surface shape changes in focal areas of the prefrontal cortex that correlate with age‐related vestibular dysfunction in 117 older adults from the Baltimore Longitudinal Study of Aging. These findings provide important insights into mechanisms linking vestibular decline, cognitive impairment, and fall risk in aging ...
Dominic Padova+3 more
wiley +1 more source
Spectral analysis of the truncated Hilbert transform with overlap
Reema Al‐Aifari, Alexander Katsevich
openalex +2 more sources
Physiological Confounds in BOLD‐fMRI and Their Correction
This graphical abstract depicts physiological confounds in BOLD‐fMRI from respiratory and cardiac sources, categorized by frequency, and highlights their effects on brain regions through various mechanisms. The figure contrasts model‐based correction methods with data‐driven techniques, outlining the strengths and limitations of each approach in ...
Abdoljalil Addeh+4 more
wiley +1 more source
The Design and Data Analysis of an Underwater Seismic Wave System. [PDF]
Xiao D, Zhu Q, Zhang J, Xie T, Ji Q.
europepmc +1 more source
This work explores the design of Majorana zero modes in InAsP quatum dots within InP nanowires coupled to a p‐type superconductor. Using atomistic calculations, exact diagonalization, and the variational quantum eigensolver (VQE) method, a variational ansatz for capturing ground state in the topological phase is introduced.
Mahan Mohseni+7 more
wiley +1 more source
PSGpower: A MATLAB toolbox for analyzing sleep EEG data. [PDF]
Fitzroy AB, Spencer RMC.
europepmc +1 more source
What can we Learn from Quantum Convolutional Neural Networks?
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano+3 more
wiley +1 more source