Ebrahim Ali Nehary

According to our database, Ebrahim Ali Nehary authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

Phonocardiogram Classification by Learning From Positive and Unlabeled Examples.

Ebrahim Ali Nehary, Sreeraman Rajan

IEEE Trans. Instrum. Meas., 2024

Metric-Based Frame Selection and Deep Learning Model With Multi-Head Self Attention for Classification of Ultrasound Lung Video Images.

Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa

IEEE Access, 2024

Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks.

Ebrahim Ali Nehary, Sreeraman Rajan

IEEE Access, 2024

Enhanced Phonocardiogram Classification Performance through Outlier Detection.

Ebrahim Ali Nehary, Sreeraman Rajan

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Postural Sway Classification using Bispectrum.

Ebrahim Ali Nehary, Sreeraman Rajan, Bruno Andò

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

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

Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa

Proceedings of the IEEE Sensors Applications Symposium, 2023

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

Ebrahim Ali Nehary, Sreeraman Rajan, Carlos Rossa

Proceedings of the IEEE Sensors Applications Symposium, 2023

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

Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani

Proceedings of the IEEE Sensors Applications Symposium, 2023

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

Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan

Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Machine Learning Approach to Classify Postural Sway Instabilities.

Bruno Andò, Salvatore Baglio, Valeria Finocchiaro, Vincenzo Marletta, Sreeraman Rajan, Ebrahim Ali Nehary, Valeria Dibilio, Giovanni Mostile, Mario Zappia

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

Postural Sway Classification using Modified Vision Transformer.

Ebrahim Ali Nehary, Sreeraman Rajan, Bruno Andò

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

Classification of Ultrasound Breast Images Using Fused Ensemble of Deep Learning Classifiers.

Ebrahim Ali Nehary, Sreeraman Rajan

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

2021

Bilateral Filters with Adaptive Generalized Kernels Generated via Riemann-Lebesgue Theorem.

Mahmoud H. Annaby, Ebrahim Ali Nehary

J. Signal Process. Syst., 2021

A Deep Convolutional Neural Network Classification of Heart Sounds using Fractional Fourier Transform.

Ebrahim Ali Nehary, Zaid Abduh, Sreeraman Rajan

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

2018

Difference operators and generalized discrete fractional transforms in signal and image processing.

Mahmoud H. Annaby, H. A. Ayad, Muhammad Ali Rushdi, Ebrahim Ali Nehary

Signal Process., 2018

2016

Image encryption via discrete fractional Fourier-type transforms generated by random matrices.

Mahmoud H. Annaby, Muhammad Ali Rushdi, Ebrahim Ali Nehary

Signal Process. Image Commun., 2016