H. O. A. Ahmed

Orcid: 0000-0002-8523-1099

According to our database1, H. O. A. Ahmed authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Colour Clustering and Deep Transfer Learning Techniques for Breast Cancer Detection Using Mammography Images.
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

2022
Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission.
Sensors, 2022

Intrinsic Dimension Estimation-Based Feature Selection and Multinomial Logistic Regression for Classification of Bearing Faults Using Compressively Sampled Vibration Signals.
Entropy, 2022

2021
Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method.
Sensors, 2021

2020
Fault Detection and Classification in MMC-HVDC Systems Using Learning Methods.
Sensors, 2020

2019
Three-Stage Hybrid Fault Diagnosis for Rolling Bearings With Compressively Sampled Data and Subspace Learning Techniques.
IEEE Trans. Ind. Electron., 2019

2018
Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals.
IEEE Access, 2018

2017
Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Compressive sensing strategy for classification of bearing faults.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Detection of IAD based on personality questionnaires of Chinese college students and SVMs.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Effects of deep neural network parameters on classification of bearing faults.
Proceedings of the IECON 2016, 2016


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