| Bearing fault diagnosis of induction motors using a genetic algorithm and machine learning classifiers RN Toma, AE Prosvirin, JM Kim Sensors 20 (7), 1884, 2020 | 261 | 2020 |
| Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks DK Appana, A Prosvirin, JM Kim Soft Computing 22 (20), 6719-6729, 2018 | 92 | 2018 |
| Data-driven prognostic scheme for rolling-element bearings using a new health index and variants of least-square support vector machines MMM Islam, AE Prosvirin, JM Kim Mechanical Systems and Signal Processing 160, 107853, 2021 | 81 | 2021 |
| Rolling-element bearing fault diagnosis using advanced machine learning-based observer F Piltan, AE Prosvirin, I Jeong, K Im, JM Kim Applied Sciences 9 (24), 5404, 2019 | 42 | 2019 |
| Bearing fault diagnosis based on convolutional neural networks with kurtogram representation of acoustic emission signals A Prosvirin, JY Kim, JM Kim Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 17, 21-26, 2018 | 39 | 2018 |
| Novel bearing fault diagnosis using gaussian mixture model-based fault band selection AS Maliuk, AE Prosvirin, Z Ahmad, CH Kim, JM Kim Sensors 21 (19), 6579, 2021 | 38 | 2021 |
| Enhancing brain tumor classification with transfer learning across multiple classes: An in-depth analysis S Ahmmed, P Podder, MRH Mondal, SMA Rahman, S Kannan, MJ Hasan, ... BioMedInformatics 3 (4), 1124-1144, 2023 | 37 | 2023 |
| Global and local feature extraction using a convolutional autoencoder and neural networks for diagnosing centrifugal pump mechanical faults AE Prosvirin, Z Ahmad, JM Kim IEEE Access 9, 65838-65854, 2021 | 31 | 2021 |
| Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation SA Khan, AE Prosvirin, JM Kim 2018 international conference on advancements in computational sciences …, 2018 | 30 | 2018 |
| Rub-impact fault diagnosis using an effective IMF selection technique in ensemble empirical mode decomposition and hybrid feature models AE Prosvirin, M Islam, J Kim, JM Kim Sensors 18 (7), 2040, 2018 | 27 | 2018 |
| Multistage centrifugal pump fault diagnosis by selecting fault characteristic modes of vibration and using Pearson linear discriminant analysis Z Ahmad, AE Prosvirin, J Kim, JM Kim IEEE Access 8, 223030-223040, 2020 | 26 | 2020 |
| An SVM-based neural adaptive variable structure observer for fault diagnosis and fault-tolerant control of a robot manipulator F Piltan, AE Prosvirin, M Sohaib, B Saldivar, JM Kim Applied Sciences 10 (4), 1344, 2020 | 26 | 2020 |
| An improved algorithm for selecting IMF components in ensemble empirical mode decomposition for domain of rub-impact fault diagnosis AE Prosvirin, MMM Islam, JM Kim IEEE Access 7, 121728-121741, 2019 | 25 | 2019 |
| Construction of a sensitive and speed invariant gearbox fault diagnosis model using an incorporated utilizing adaptive noise control and a stacked sparse autoencoder-based deep … CD Nguyen, AE Prosvirin, CH Kim, JM Kim Sensors 21 (1), 18, 2020 | 20 | 2020 |
| A reliable fault diagnosis method for a gearbox system with varying rotational speeds CD Nguyen, A Prosvirin, JM Kim Sensors 20 (11), 3105, 2020 | 20 | 2020 |
| Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network AE Prosvirin, AS Maliuk, JM Kim Expert Systems with Applications 198, 116868, 2022 | 16 | 2022 |
| Hybrid rubbing fault identification using a deep learning-based observation technique AE Prosvirin, F Piltan, JM Kim IEEE Transactions on Neural Networks and Learning Systems 32 (11), 5144-5155, 2020 | 13 | 2020 |
| Efficient rub-impact fault diagnosis scheme based on hybrid feature extraction and SVM A Prosvirin, J Kim, JM Kim Advances in Computer Communication and Computational Sciences: Proceedings …, 2019 | 11 | 2019 |
| Blade rub-impact fault identification using autoencoder-based nonlinear function approximation and a deep neural network AE Prosvirin, F Piltan, JM Kim Sensors 20 (21), 6265, 2020 | 9 | 2020 |
| SVM hyperparameter optimization using a genetic algorithm for rub-impact fault diagnosis A Prosvirin, BP Duong, JM Kim Advances in Computer Communication and Computational Sciences: Proceedings …, 2019 | 6 | 2019 |
M M Manjurul Islam, PhDPostdoctoral Research Associate, Ulster University, UKVerified email at ulster.ac.uk