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Time-frequency feature calculation of multi-stage audiovisual neural processing via electroencephalogram microstates
Published 2025-08-01“…We analyzed filtered EEG data across frequency bands to quantify microstate attributes (e.g., duration, occurrence, coverage, transition probabilities), deriving comprehensive time-frequency features. These features were then used to classify processing states with multiple machine learning models.ResultsDistinct, temporally continuous microstate sequences were identified characterizing attended versus unattended AV processing. …”
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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification
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Research and Application of Lifetime Feature Extraction for PCBs Based on Time-Frequency Transforms
Published 2025-06-01Get full text
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A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations
Published 2025-04-01Get full text
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RETRACTED ARTICLE: Image Processing Algorithm for Mechanical Properties Testing of High-Temperature Materials Based on Time-Frequency Analysis
Published 2023-12-01“…We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability:Dong Sun & Yong Wei (2023) Image processing algorithm for mechanical properties testing of hightemperature materials based on time‐frequency analysis, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170357Following publication, concerns were raised about the peer review and decision‐making processes for this special issue.After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor‐in‐Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy.As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. …”
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Time-frequency analysis and autoencoder approach for network traffic anomaly detection
Published 2025-06-01“…It conducts time- frequency analysis of pre-processed network traffic data such as packet size and duration, extracting meaningful features fed into an autoencoder. …”
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CLASSIFICATION OF AUDIO SOURCE CHANNELS USING TIME-FREQUENCY ANALYSIS AND DECISION TREE CLASSIFIER
Published 2025-04-01“…This study highlights the effectiveness of the advanced time-frequency analysis techniques CKD and MDD in improving audio source separation and their potential for real-time audio processing applications. …”
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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion
Published 2025-08-01“…A novel, lightweight, and robust diagnostic network, YConvFormer, is proposed. Firstly, a time–frequency joint input channel is introduced, which integrates time-domain waveforms and frequency-domain spectrums at the input layer. …”
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Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches
Published 2022-12-01“…We examine the time-frequency lead–lag relationships and the degree of integration between the US financial stress index and global commodity prices (i.e., oil, gold, silver, and cocoa) with data covering over 47 decades (January 1975 to December 2021). …”
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Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks
Published 2025-08-01“…This study presents a bridge damage identification framework integrating time-varying filtering-based empirical mode decomposition (TVFEMD) with pre-trained convolutional neural networks (CNNs). …”
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Group feature calibration for sound event detection
Published 2025-06-01“…Abstract Sound Event Detection (SED) is a pivotal task in audio signal processing with widespread applications, requiring the classification and temporal localization of sound events. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network
Published 2025-04-01“…This study constructed a non-invasive epilepsy localization method, integrating sLORETA source imaging, time–frequency analysis, and Visual Geometry Group (VGG-16) deep learning. …”
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SPYDER: QoS-Aware Radio Resource Allocation in Multiuser ISAC-Capable C-V2X Networks
Published 2025-01-01Get full text
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RECOGNITION OF PROPELLER-DRIVEN AIRCRAFT IN A PASSIVE BISTATIC RADAR
Published 2018-12-01Get full text
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Instantaneous Purified Orbit: A New Tool for Analysis of Nonstationary Vibration of Rotor System
Published 2001-01-01Get full text
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