Results 31 to 40 of about 4,390 (154)
Milling gate vibrations analysis via Hilbert-Huang transform
ITM Web of Conferences, 2017 The study aimed at identification of the milling gate modal parameters: natural frequencies and mode shapes, in order to establish the working range free from resonant areas.
Litak Grzegorz +2 more
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Signals, 2023 This study investigates the use of empirical mode decomposition (EMD) to extract intrinsic mode functions (IMFs) for the spectral analysis of EEG signals in healthy individuals and its possible biological interpretations. Unlike traditional EEG analysis,
Eduardo Arrufat-Pié +5 more
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Characterization of non-linear bearings using the Hilbert–Huang transform
Advances in Mechanical Engineering, 2015 Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a result of environmental or operational loads.
Arturo González, Hussein Aied
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Advanced Science, EarlyView.A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study uses iterative learning control and voice coil motor to keep normal force constant in curved surface polishing. A mechanism‐data fusion model adjusts robotic posture via real‐time feedback for adaptive tracking control of normal force vector direction.
Jiale Xu +3 more
wiley +1 more source
Energies, 2017 The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to ...
Vito Puliafito +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Classification and Identification of Underwater Target based on Sound Propagation
نشریه مهندسی دریا, 2018 This paper investigates an underwater noise target classification algorithm in order to identify vessels in shallow water. To this aim the Hilbert Huang transform has been used to extract features in order to be used in a classifier.
Hassan Sayyaadi +2 more
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Open Source for Raman Spectroscopy Data Harmonization
Journal of Raman Spectroscopy, EarlyView.Open‐source MIT–licensed Python package ramanchada2 collects existing and novel algorithms for generating Raman spectra, reading, visualizing, and processing, with emphasis on instrument calibration. It supports multiple input formats or experimental and simulated spectra and can generate synthetic spectra for data augmentation and benchmarking.
G. Georgiev +9 more
wiley +1 more source
Applications of Fast Iterative Filtering in NMR Spectroscopy: Baseline Correction
Magnetic Resonance in Chemistry, EarlyView.Fast iterative filtering is a signal decomposition technique related to empirical mode decomposition. When decomposing NMR data into intrinsic mode functions, FIF effectively partitions broad baseline components from narrow peaks components, even in heavily distorted spectra, for instance, those of paramagnetic compounds.
Letizia Fiorucci +4 more
wiley +1 more source