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Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features

Sensors (Basel, Switzerland), 2020-07, Vol.20 (13), p.3790

2020

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An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis

Sensors (Basel, Switzerland), 2021-11, Vol.21 (22), p.7587

2021

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Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3980

2023

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Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme

Sensors (Basel, Switzerland), 2021-01, Vol.21 (1), p.247

2021

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A two-stage classification model integrating feature fusion for coronary artery disease detection and classification

Multimedia tools and applications, 2022-04, Vol.81 (10), p.13661-13690

2022

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DarkNet-19 Based Intelligent Diagnostic System for Ocular Diseases

Iranian journal of science and technology. Transactions of electrical engineering, 2022-12, Vol.46 (4), p.959-970

2022

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Real time vision-based implementation of plant disease identification system on FPGA

Mehran University research journal of engineering and technology, 2023-04, Vol.42 (2), p.19-29

2023

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XPQRS: Expert power quality recognition system for sensitive load applications

Measurement : journal of the International Measurement Confederation, 2023-07, Vol.216, p.112889, Article 112889

2023

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A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2021-01, Vol.29 (2), p.962-977

2021

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Intelligent bearing faults diagnosis featuring Automated Relative Energy based Empirical Mode Decomposition and novel Cepstral Autoregressive features

Measurement : journal of the International Measurement Confederation, 2023-07, Vol.216, p.112871, Article 112871

2023

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Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns

Biomedical signal processing and control, 2023-03, Vol.81, p.104509, Article 104509

2023

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Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns

Computers in biology and medicine, 2021-11, Vol.138, p.104926-104926, Article 104926

2021

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Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients

Digital signal processing, 2025-01, Vol.156, p.104776, Article 104776

2025

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Fall detection through acoustic Local Ternary Patterns

Applied acoustics, 2018-11, Vol.140, p.296-300

2018

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Computer‐aided diagnosis of COVID‐19 disease from chest X‐ray images integrating deep feature extraction

Expert systems, 2022-06, Vol.39 (5), p.n/a

2022

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Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics

Electronics (Basel), 2019-05, Vol.8 (5), p.483

2019

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Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals

Expert systems, 2021-05, Vol.38 (3), p.n/a

2021

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A novel embedded system design for the detection and classification of cardiac disorders

Computational intelligence, 2021-11, Vol.37 (4), p.1844-1864

2021

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Machine learning‐based classification of multiple heart disorders from PCG signals

Expert systems, 2023-12, Vol.40 (10)

2023

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Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns

Expert systems, 2022-09, Vol.39 (8), p.n/a

2022

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Marine Mammals Classification using Acoustic Binary Patterns

Archives of acoustics, 2020-01, Vol.45 (4), p.721

2020

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Metabolic evaluation of brain tumor using magnetic resonance spectroscopy

Materials today : proceedings, 2021, Vol.47, p.S28-S32

2021

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A framework for fall detection of elderly people by analyzing environmental sounds through acoustic local ternary patterns

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017, p.1558-1563

2017

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Classification of EMG Signals for Assessment of Neuromuscular Disorder using Empirical Mode Decomposition and Logistic Regression

2019 International Conference on Applied and Engineering Mathematics (ICAEM), 2019, p.237-243

2019

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Detection of Myocardial Infarction using Pulse Plethysmograph Signals

2019 International Conference on Frontiers of Information Technology (FIT), 2019, p.95-955

2019

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Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features

An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals

Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme

A two-stage classification model integrating feature fusion for coronary artery disease detection and classification

DarkNet-19 Based Intelligent Diagnostic System for Ocular Diseases

Real time vision-based implementation of plant disease identification system on FPGA

XPQRS: Expert power quality recognition system for sensitive load applications

A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension

Intelligent bearing faults diagnosis featuring Automated Relative Energy based Empirical Mode Decomposition and novel Cepstral Autoregressive features

Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns

Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns

Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients

Fall detection through acoustic Local Ternary Patterns

Computer‐aided diagnosis of COVID‐19 disease from chest X‐ray images integrating deep feature extraction

Automatic Scene Recognition through Acoustic Classification for Behavioral Robotics

Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals

A novel embedded system design for the detection and classification of cardiac disorders

Machine learning‐based classification of multiple heart disorders from PCG signals

Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns

Marine Mammals Classification using Acoustic Binary Patterns

Metabolic evaluation of brain tumor using magnetic resonance spectroscopy

A framework for fall detection of elderly people by analyzing environmental sounds through acoustic local ternary patterns

Classification of EMG Signals for Assessment of Neuromuscular Disorder using Empirical Mode Decomposition and Logistic Regression

Detection of Myocardial Infarction using Pulse Plethysmograph Signals

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