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ORCIDEbrahim Ali Nehary
Person information
- affiliation: Carleton University, Department of Systems and Computer Engineering, Ottawa, Canada
- affiliation: Cairo University, Department of Biomedical and Systems Engineering, Faculty of Engineering, Giza, Egypt
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2020 – today
- 2024
[j6]Ebrahim Ali Nehary
, Sreeraman Rajan, Carlos Rossa:
Metric-Based Frame Selection and Deep Learning Model With Multi-Head Self Attention for Classification of Ultrasound Lung Video Images. IEEE Access 12: 79297-79310 (2024)- [j5]Ebrahim Ali Nehary, Sreeraman Rajan:
Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks. IEEE Access 12: 112966-112983 (2024) - [j4]Ebrahim Ali Nehary, Sreeraman Rajan:
Phonocardiogram Classification by Learning From Positive and Unlabeled Examples. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [c10]Ebrahim Ali Nehary, Sreeraman Rajan, Bruno Andò:
Postural Sway Classification using Bispectrum. I2MTC 2024: 1-6 - [c9]Ebrahim Ali Nehary, Sreeraman Rajan:
Enhanced Phonocardiogram Classification Performance through Outlier Detection. MeMeA 2024: 1-6 - 2023
- [c8]Ebrahim Ali Nehary, Sreeraman Rajan, Bruno Andò:
Postural Sway Classification using Modified Vision Transformer. BioCAS 2023: 1-5 - [c7]Bruno Andò, Salvatore Baglio, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Giovanni Mostile, Mario Zappia:
Machine Learning Approach to Classify Postural Sway Instabilities. I2MTC 2023: 1-6 - [c6]Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan:
Comparison of Wearable Sensor-based Fall Event Detection by 1-D and 2-D Convolutional Neural Networks. ICCE 2023: 1-5 - [c5]Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani:
Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features. SAS 2023: 1-6 - [c4]Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa:
Lung Ultrasound Image Classification Using Deep Learning and Histogram of Oriented Gradients Features for COVID-19 Detection. SAS 2023: 1-6 - [c3]Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa:
Comparison of COVID-19 Classification via Imagenet-Based and RadImagenet-Based Transfer Learning Models with Random Frame Selection. SAS 2023: 1-6 - 2022
- [c2]Ebrahim Ali Nehary, Sreeraman Rajan:
Classification of Ultrasound Breast Images Using Fused Ensemble of Deep Learning Classifiers. MeMeA 2022: 1-6 - 2021
- [j3]Mahmoud H. Annaby, Ebrahim Ali Nehary:
Bilateral Filters with Adaptive Generalized Kernels Generated via Riemann-Lebesgue Theorem. J. Signal Process. Syst. 93(11): 1301-1322 (2021) - [c1]Ebrahim Ali Nehary, Zaid Abduh, Sreeraman Rajan:
A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform. I2MTC 2021: 1-5
2010 – 2019
- 2018
- [j2]Mahmoud H. Annaby, H. A. Ayad, Muhammad Ali Rushdi, Ebrahim Ali Nehary:
Difference operators and generalized discrete fractional transforms in signal and image processing. Signal Process. 151: 1-18 (2018) - 2016
- [j1]Mahmoud H. Annaby, Muhammad Ali Rushdi, Ebrahim Ali Nehary:
Image encryption via discrete fractional Fourier-type transforms generated by random matrices. Signal Process. Image Commun. 49: 25-46 (2016)
Coauthor Index
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