| Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features HOA Ahmed, MLD Wong, AK Nandi Mechanical Systems and Signal Processing 99, 459-477, 2018 | 162 | 2018 |
| Condition monitoring with vibration signals: Compressive sampling and learning algorithms for rotating machines H Ahmed, AK Nandi John Wiley & Sons, 2020 | 138 | 2020 |
| Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine Z Di, X Gong, J Shi, HOA Ahmed, AK Nandi Addictive behaviors reports 10, 100200, 2019 | 58 | 2019 |
| Three-stage hybrid fault diagnosis for rolling bearings with compressively sampled data and subspace learning techniques HOA Ahmed, AK Nandi IEEE Transactions on Industrial Electronics 66 (7), 5516-5524, 2018 | 53 | 2018 |
| Compressive sampling and feature ranking framework for bearing fault classification with vibration signals H Ahmed, AK Nandi IEEE Access 6, 44731-44746, 2018 | 53 | 2018 |
| Fault detection and classification in MMC-HVDC systems using learning methods Q Wang, Y Yu, HOA Ahmed, M Darwish, AK Nandi Sensors 20 (16), 4438, 2020 | 49 | 2020 |
| Connected components-based colour image representations of vibrations for a two-stage fault diagnosis of roller bearings using convolutional neural networks HOA Ahmed, AK Nandi Chinese Journal of Mechanical Engineering 34 (1), 37, 2021 | 36 | 2021 |
| Vibration image representations for fault diagnosis of rotating machines: a review HOA Ahmed, AK Nandi Machines 10 (12), 1113, 2022 | 22 | 2022 |
| 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 Q Wang, Y Yu, HOA Ahmed, M Darwish, AK Nandi Sensors 21 (12), 4159, 2021 | 19 | 2021 |
| Compressive sensing strategy for classification of bearing faults HOA Ahmed, MLD Wong, AK Nandi 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 18 | 2017 |
| Effects of deep neural network parameters on classification of bearing faults HOA Ahmed, MLD Wong, AK Nandi IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016 | 18 | 2016 |
| Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals HOA Ahmed, AK Nandi Machines 11 (7), 746, 2023 | 13 | 2023 |
| Artificial Neural Networks (ANNs) H Ahmed, AK Nandi Wiley-IEEE Press, 2019 | 13 | 2019 |
| Classification Algorithm Validation H Ahmed, AK Nandi Wiley-IEEE Press, 2019 | 13 | 2019 |
| Decision trees and random forests H Ahmed, AK Nandi Wiley-IEEE Press, 2019 | 13 | 2019 |
| Intelligent fault diagnosis framework for modular multilevel converters in HVDC transmission HOA Ahmed, Y Yu, Q Wang, M Darwish, AK Nandi Sensors 22 (1), 362, 2022 | 12 | 2022 |
| Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine HOA Ahmed, MLD Wong, AK Nandi IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 10 | 2017 |
| Study and evaluation of pre-trained CNN networks for cultural heritage image classification A Belhi, HO Ahmed, T Alfaqheri, A Bouras, AH Sadka, S Foufou Data Analytics for Cultural Heritage: Current Trends and Concepts, 47-69, 2021 | 9 | 2021 |
| Three-stage method for rotating machine health condition monitoring using vibration signals H Ahmed, A Nandi 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 9 | 2018 |
| Frequency domain analysis H Ahmed, AK Nandi Wiley-IEEE Press, 2019 | 8 | 2019 |
Professor Asoke K. NandiChair and Head of Electronic and Computer EngineeringVerified email at brunel.ac.uk
