Results 41 to 50 of about 4,653 (151)

Beyond Frequency Band Constraints in EEG Analysis: The Role of the Mode Decomposition in Pushing the Boundaries

open access: yesSignals, 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
doaj   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

Hilbert–Huang-Transform-Based Seismic Intensity Measures for Rocking Response Assessment

open access: yesApplied Sciences, 2023
Structures that can uplift and rock under severe seismic excitations present remarkable stability without exhibiting damage. As such, rocking-response-based structural systems constitute a promising design practice.
Kosmas E. Bantilas   +3 more
doaj   +1 more source

Fault diagnosis method of a cascaded H‐bridge inverter based on a multisource adaptive fusion CNN‐transformer

open access: yesIET Power Electronics, EarlyView.
The multisource adaptive fusion CNN‐transformer method proposed in this study can provide theoretical and technical support for fault diagnosis of high‐voltage MCHBI. It has a promising potential for engineering applications. Abstract In high‐voltage applications, the number of cascaded H‐bridge inverter units is large, the failure probability ...
Weiman Yang   +4 more
wiley   +1 more source

Classification and Identification of Underwater Target based on Sound Propagation

open access: yesنشریه 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
doaj  

Dimer models and conformal structures

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 340-446, February 2026.
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala   +3 more
wiley   +1 more source

Research on improved modal parameter identification method using Hilbert-Huang transform

open access: yesMeasurement + Control, 2023
In the wind tunnel test, the full-bridge aeroelastic model needs to simulate both the shape and dynamic characteristics of the real bridge, and modal parameters are key dynamic parameters.
Mingjin Zhang   +4 more
doaj   +1 more source

Advances in Delamination Analysis and Damage Prediction: A Comprehensive Review on Polymer Composite Materials

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This comprehensive study advances delamination analysis in composites through innovative computational methods, experimental validation techniques, and predictive algorithms, collectively enhancing damage progression prediction and structural health monitoring for improved integrity in high‐performance applications.
Dhivya Elumalai   +4 more
wiley   +1 more source

Detection and Classification of Double Line to Ground Faults in a 138 kV Six Phase Transmission Line Using Hilbert Huang Transform

open access: yesInternational Journal of Electrical Engineering and Applied Sciences, 2019
In this paper, Hilbert Huang transform based technique is introduced to detect and classify double line to ground faults in a 138 kV, 60 Hz, 68 km long six phase transmission line.
Gaurav Kapoor
doaj  

Electromyography Signal Classification With Artificial Intelligence for Detection of Neuromuscular Disorders Using a Large Clinically‐Acquired Database

open access: yesMuscle &Nerve, Volume 73, Issue 2, Page 319-328, February 2026.
ABSTRACT Introduction/Aims Artificial intelligence (AI) has shown potential in analyzing electromyography (EMG) signals, but clinical applicability remains limited by studies based on small, curated datasets, and variable accuracy. This study evaluated AI performance in classifying needle electromyography (EMG) signals as muscle activity versus ...
Mohamed Taha   +4 more
wiley   +1 more source

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