Sumair Aziz

According to our database, Sumair Aziz authored at least 21 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Sumair Aziz, Muhammad Umar Khan, Adil Usman, Muhammad Faraz, Yazeed Yasin Ghadi, Gabriel Axel Montes

Digit. Signal Process., 2025

2024

Detecting Lung Infections with Empirical Mode Decomposition and Neural Networks.

Abdul Rafay, Wardah Batool, Muhammad Faraz, Syed Zohaib Hassan Naqvi, Muhammad Umar Khan, Sumair Aziz

Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

Pattern Analysis Framework for Detection of Cardiac Disorders using VCG Signal Analysis.

Syeda Tehreem Haider, Muhammad Umar Khan, Sumair Aziz, Muhammad Faraz, Syed Zohaib Hassan Naqvi, Gabriel Axel Montes

Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

2023

Machine learning-based classification of multiple heart disorders from PCG signals.

Muhammad Talal, Sumair Aziz, Muhammad Umar Khan, Yazeed Ghadi, Syed Zohaib Hassan Naqvi, Muhammad Faraz

Expert Syst. J. Knowl. Eng., December, 2023

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

Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Raul Fernandez Rojas

Biomed. Signal Process. Control., March, 2023

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

Muhammad Umar Khan, Sumair Aziz, Niraj Hirachan, Calvin Joseph, Jasper Li, Raul Fernandez Rojas

Sensors, 2023

"Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain.

Sumair Aziz, Muhammad Umar Khan, Niraj Hirachan, Girija Chetty, Roland Goecke, Raul Fernandez Rojas

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Galila Faisal Zaher, Shareefa Alghamdi, Munazza Gull

Multim. Tools Appl., 2022

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

Sumair Aziz, Muhammad Umar Khan, Abdul Rehman, Zain Tariq, Khushbakht Iqtidar

Expert Syst. J. Knowl. Eng., 2022

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

Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, Sadaqat Ali, Ancuta Nicoleta Remete, Muhammad Arshad Javid

Expert Syst. J. Knowl. Eng., 2022

EHG Signal Analysis for Prediction of Term and Preterm using Variational Mode Decomposition and Artificial Neural Networks.

Muhammad Umar Khan, Sumair Aziz, Khushbakht Iqtidar, Raul Fernandez Rojas

Proceedings of the International Conference on Frontiers of Information Technology, 2022

2021

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

Muhammad Umar Khan, Sumair Aziz, Tallha Akram, Fatima Amjad, Khushbakht Iqtidar, Yunyoung Nam, Muhammad Attique Khan

Sensors, 2021

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

Ayaz Kafeel, Sumair Aziz, Muhammad Awais, Muhammad Attique Khan, Kamran Afaq, Sahar Ahmed Idris, Hammam A. Alshazly, Samih Mohemmed Mostafa

Sensors, 2021

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

Sumair Aziz, Muhammad Awais, Muhammad Umar Khan, Khushbakht Iqtidar, Usman Qamar

Expert Syst. J. Knowl. Eng., 2021

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

Muhammad Umar Khan, Sumair Aziz

Turkish J. Electr. Eng. Comput. Sci., 2021

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

Umair Riaz, Sumair Aziz, Muhammad Umar Khan, Syed Azhar Ali Zaidi, Muhammad Ukasha, Aamir Rashid

Comput. Intell., 2021

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

Khushbakht Iqtidar, Usman Qamar, Sumair Aziz, Muhammad Umar Khan

Comput. Biol. Medicine, 2021

2020

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

Sumair Aziz, Muhammad Umar Khan, Majed Alhaisoni, Tallha Akram, Muhammad Altaf

Sensors, 2020

2019

Detection of Myocardial Infarction using Pulse Plethysmograph Signals.

Muhammad Umar Khan, Sumair Aziz, Asra Malik, Muhammad Atif Imtiaz

Proceedings of the International Conference on Frontiers of Information Technology, 2019

Electromyography (EMG) Data-Driven Load Classification using Empirical Mode Decomposition and Feature Analysis.

Sumair Aziz, Muhammad Umar Khan, Foha Aamir, Muhammad Arshad Javid

Proceedings of the International Conference on Frontiers of Information Technology, 2019

2017

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

Aun Irtaza, Syed Muhammad Adnan Shah, Sumair Aziz, Ali Javed, M. Obaid Ullah, Muhammad Tariq Mahmood

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017