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A Computerized Approach for Automatic Human Emotion Recognition Using Sliding Mode Singular Spectrum Analysis

IEEE sensors journal, 2021-12, Vol.21 (23), p.26931-26940

2021

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Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1235

2023

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A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence

Results in engineering, 2023-06, Vol.18, p.101027, Article 101027

2023

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Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion

Frontiers in physiology, 2023-06, Vol.14, p.1175881-1175881

2023

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A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning

Frontiers in human neuroscience, 2024-02, Vol.18, p.1347082-1347082

2024

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Cross subject myocardial infarction detection from vectorcardiogram signals using binary harry hawks feature selection and ensemble classifiers

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection

Biomedical signal processing and control, 2023-01, Vol.79, p.104006, Article 104006

2023

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Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG

Biomedical signal processing and control, 2022-01, Vol.71, p.103270, Article 103270

2022

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EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier

Journal of neuroscience methods, 2023-06, Vol.393, p.109879-109879, Article 109879

2023

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Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model

Biocybernetics and biomedical engineering, 2022-01, Vol.42 (1), p.312-324

2022

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A novel and lightweight P, QRS, and T peaks detector using adaptive thresholding and template waveform

Computers in biology and medicine, 2021-05, Vol.132, p.104307-104307, Article 104307

2021

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Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach

Signal, image and video processing, 2018-02, Vol.12 (2), p.199-206

2018

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Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks

Expert systems with applications, 2023-01, Vol.211, p.118650, Article 118650

2023

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An Energy-Efficient Clustering Algorithm for Maximizing Lifetime of Wireless Sensor Networks using Machine Learning

Mobile networks and applications, 2023-04, Vol.28 (2), p.853-867

2023

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Dynamic thresholding based efficient QRS complex detection with low computational overhead

Biomedical signal processing and control, 2021-05, Vol.67, p.102519, Article 102519

2021

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Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection

Elektrik : Turkish journal of electrical engineering & computer sciences, 2023-01, Vol.31 (5), p.771-791

2023

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A robust QRS detection using novel pre-processing techniques and kurtosis based enhanced efficiency

Measurement : journal of the International Measurement Confederation, 2016-06, Vol.87, p.194-204

2016

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Softflatten-Net: A Deep Convolutional Neural Network Design for Monkeypox Classification From Digital Skin Lesions Images

IEEE sensors journal, 2024-10, Vol.24 (20), p.32566-32576

2024

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Evolutionary inspired approach for mental stress detection using EEG signal

Expert systems with applications, 2022-07, Vol.197, p.116634, Article 116634

2022

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Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital images

The Visual computer, 2023-11, Vol.39 (11), p.5809-5822

2023

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Automated detection of myocardial infarction using binary Harry Hawks feature selection and ensemble KNN classifier

Computer methods in biomechanics and biomedical engineering, 2024-11, Vol.27 (14), p.2024-2040

2024

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Stationary wavelet transform based technique for automated external defibrillator using optimally selected classifiers

Measurement : journal of the International Measurement Confederation, 2018-09, Vol.125, p.29-36

2018

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An improved cardiac arrhythmia classification using an RR interval-based approach

Biocybernetics and biomedical engineering, 2021-04, Vol.41 (2), p.656-666

2021

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Classification of lung disorders in chest multi-modal images using hyper-Parameter tuning and modified ResNet50

Multimedia tools and applications, 2024-10

2024

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Minimized feature overhead malware detection machine learning model employing MRMR‐based ranking

Concurrency and computation, 2022-08, Vol.34 (17), p.n/a

2022

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A Computerized Approach for Automatic Human Emotion Recognition Using Sliding Mode Singular Spectrum Analysis

Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals

A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence

Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning

Cross subject myocardial infarction detection from vectorcardiogram signals using binary harry hawks feature selection and ensemble classifiers

Cognitive load detection using circulant singular spectrum analysis and Binary Harris Hawks Optimization based feature selection

Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG

EEG rhythm based emotion recognition using multivariate decomposition and ensemble machine learning classifier

Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model

A novel and lightweight P, QRS, and T peaks detector using adaptive thresholding and template waveform

Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach

Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks

An Energy-Efficient Clustering Algorithm for Maximizing Lifetime of Wireless Sensor Networks using Machine Learning

Dynamic thresholding based efficient QRS complex detection with low computational overhead

Cognitive load detection using Ci-SSA for EEG signal decomposition and nature-inspired feature selection

A robust QRS detection using novel pre-processing techniques and kurtosis based enhanced efficiency

Softflatten-Net: A Deep Convolutional Neural Network Design for Monkeypox Classification From Digital Skin Lesions Images

Evolutionary inspired approach for mental stress detection using EEG signal

Multiclass CNN-based adaptive optimized filter for removal of impulse noise from digital images

Automated detection of myocardial infarction using binary Harry Hawks feature selection and ensemble KNN classifier

Stationary wavelet transform based technique for automated external defibrillator using optimally selected classifiers

An improved cardiac arrhythmia classification using an RR interval-based approach

Classification of lung disorders in chest multi-modal images using hyper-Parameter tuning and modified ResNet50

Minimized feature overhead malware detection machine learning model employing MRMR‐based ranking

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