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   Articles with "signal classification" as a keyword



EEG signal classification using LSTM and improved neural network algorithms

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recommendations! Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04515-0

Abstract: Neural network (NN) finds role in variety of applications due to combined effect of feature extraction and classification availability in deep learning algorithms. In this paper, we have chosen SVM, logistic regression machine learning algorithms… read more here.

Keywords: classification; eeg signal; performance; neural network ... See more keywords
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Phase correction improved multiple signal classification for impact source localization under varying temperature conditions

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recommendations! Published in 2020 at "Measurement"

DOI: 10.1016/j.measurement.2019.107374

Abstract: Abstract Lamb waves are commonly used to locate low velocity impacts in composite structures. However, it is readily influenced by varying temperature conditions that the phase drift of uniform linear array signals will quite difference… read more here.

Keywords: varying temperature; multiple signal; signal classification; temperature conditions ... See more keywords

Motor imagery EEG signal classification using novel deep learning algorithm

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-00824-7

Abstract: Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges and exhibit reduced performances due to signal… read more here.

Keywords: classification; motor imagery; eeg signal; signal classification ... See more keywords

Signal classification algorithms for the MRPC with DRS4 readout

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recommendations! Published in 2024 at "Journal of Instrumentation"

DOI: 10.1088/1748-0221/19/04/p04002

Abstract: The readout electronics of the Multigap Resistive Plate Chambers (MRPC) of the NA61/SHINE experiment at CERN are based on the Domino Ring Sampler v.4 (DRS4) chips. Due to the analyzing complexity of the waveforms produced… read more here.

Keywords: classification algorithms; signal classification; mrpc drs4; drs4 readout ... See more keywords

Modulation Signal Classification Algorithm Based on Denoising Residual Convolutional Neural Network

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3221475

Abstract: Traditional denoising algorithms are easy to lose signal details, resulting in low recognition accuracy of modulated signals. A modulation signal classification algorithm based on denoising residual Convolutional Neural Network (DRCNet) is proposed. DRCNet inserts a… read more here.

Keywords: neural network; network; signal classification; convolutional neural ... See more keywords

G2-ResNeXt: A Novel Model for ECG Signal Classification

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3265305

Abstract: Electrocardiograms (ECG) are the primary basis for the diagnosis of cardiovascular diseases. However, due to the large volume of patients’ ECG data, manual diagnosis is time-consuming and laborious. Therefore, intelligent automatic ECG signal classification is… read more here.

Keywords: classification; resnext; signal classification; ecg signal ... See more keywords

Enhancing MI EEG Signal Classification With a Novel Weighted and Stacked Adaptive Integrated Ensemble Model: A Multi-Dataset Approach

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3434654

Abstract: Electroencephalography (EEG) based Brain-Computer Interfaces (BCIs) are vital for various applications, yet achieving accurate EEG signal classification, particularly for Motor Imagery (MI) tasks, remains a significant challenge. This study introduces a novel Weighted and Stacked… read more here.

Keywords: eeg signal; signal classification; weighted stacked; novel weighted ... See more keywords

Advancing ECG Signal Classification With a Fuzzy Classifier Approach

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3568086

Abstract: The analysis of ECG signals plays an important role in healthcare, particularly for the detection of heart conditions such as arrhythmia, coronary artery disease, or heart attack. Accurate diagnosis often depends on the effective classification… read more here.

Keywords: classification; ecg signal; loss; signal classification ... See more keywords

Neuromorphic Signal Classification Using Organic Electrochemical Transistor Array and Spiking Neural Simulations

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recommendations! Published in 2024 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3353307

Abstract: Neuromorphic computing is an exciting and rapidly growing field that aims to create computing systems that can replicate the complex and dynamic behavior of the human–brain. Organic electrochemical transistors (OECTs) have emerged as a promising… read more here.

Keywords: classification; spiking neural; organic electrochemical; signal classification ... See more keywords

Discriminant Analysis for Radar Signal Classification

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recommendations! Published in 2020 at "IEEE Transactions on Aerospace and Electronic Systems"

DOI: 10.1109/taes.2020.2965787

Abstract: Discriminant analysis is a technique used in statistics and machine learning to separate two or more classes of objects or events. We introduce linear, quadratic, and mixture discriminant analysis methods into radar signal classification. However,… read more here.

Keywords: signal classification; analysis; radar signal; discriminant analysis ... See more keywords

SMTC-CL: Continuous Learning via Selective Multi-Task Coordination for Adaptive Signal Classification

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recommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"

DOI: 10.1109/tccn.2024.3485083

Abstract: Continuously adaptive signal classification in complex electromagnetic environments is a desired property of realistic intelligent systems. However, the limitation of most existing signal processing tasks and methods lies in their assumption of fixed categories and… read more here.

Keywords: task; classification; continuous learning; selective multi ... See more keywords