ProfessorsProfessors of Carleton UniversityEA Nehary

EA Nehary

Carleton University

H-index: 5

North America-Canada

About EA Nehary

EA Nehary, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Carleton University, specializes in the field of Biomedical engineering applications, Machine learning, Computer vision, Image and Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Phonocardiogram Classification by Learning from Positive and Unlabeled Examples

Comparison of COVID-19 Classification via Imagenet-Based and RadImagenet-Based Transfer Learning Models with Random Frame Selection

Machine Learning Approach to Classify Postural Sway Instabilities

Postural Sway Classification using Modified Vision Transformer

Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks

Bilateral symmetry-based abnormality detection in breast thermograms using textural features of hot-regions

Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features

Lung Ultrasound Image Classification Using Deep Learning and Histogram of Oriented Gradients Features for COVID-19 Detection

EA Nehary Information

University	Carleton University
Position	Systems and Computer Engineering
Citations(all)	197
Citations(since 2020)	183
Cited By	80
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Carleton University
Google Scholar	View Google Scholar Profile

EA Nehary Skills & Research Interests

Biomedical engineering applications

Machine learning

Computer vision

Image and Signal Processing

Top articles of EA Nehary

Title	Journal	Author(s)	Publication Date
Phonocardiogram Classification by Learning from Positive and Unlabeled Examples	IEEE Transactions on Instrumentation and Measurement	Ebrahim A Nehary Sreeraman Rajan	2024/3/1
Comparison of COVID-19 Classification via Imagenet-Based and RadImagenet-Based Transfer Learning Models with Random Frame Selection		EA Nehary Sreeraman Rajan Carlos Rossa	2023/7/18
Machine Learning Approach to Classify Postural Sway Instabilities		Bruno Andò Salvatore Baglio Valeria Finocchiaro Vincenzo Marletta Sreeraman Rajan ...	2023/5/22
Postural Sway Classification using Modified Vision Transformer		Ebrahim A Nehary Sreeraman Rajan Bruno Ando	2023/10/19
Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks		Ebrahim Ameen Nehary Ankita Dey Sreeraman Rajan	2023/1/6
Bilateral symmetry-based abnormality detection in breast thermograms using textural features of hot-regions	IEEE Open Journal of Instrumentation and Measurement	Ankita Dey Ebrahim Ali Sreeraman Rajan	2023/8/8
Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features		EA Nehary Ankita Dey Sreeraman Rajan Bhashyam Balaji Anthony Damini ...	2023/7/18
Lung Ultrasound Image Classification Using Deep Learning and Histogram of Oriented Gradients Features for COVID-19 Detection		EA Nehary Sreeraman Rajan Carlos Rossa	2023/7/18
Classification of Ultrasound Breast Images Using Fused Ensemble of Deep Learning Classifiers		Ebrahim Ameen Nehary Sreeraman Rajan	2022/6/22
A deep convolutional neural network classification of heart sounds using fractional fourier transform		Ebrahim Ameen Nehary Zaid Abduh Sreeraman Rajan	2021/5/17
Bilateral Filters with Adaptive Generalized Kernels Generated via Riemann-Lebesgue Theorem	Journal of Signal Processing Systems	Mahmoud H Annaby Ebrahim Ameen Nehary	2021/11
Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers	Biomedical Signal Processing and Control	Zaid Abduh Ebrahim Ameen Nehary Manal Abdel Wahed Yasser M Kadah	2020/3/1