| Electricity theft detection in smart grid systems: A CNN-LSTM based approach MN Hasan, RN Toma, AA Nahid, MMM Islam, JM Kim Energies 12 (17), 3310, 2019 | 313 | 2019 |
| 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 | 186 | 2020 |
| Bearing fault classification of induction motors using discrete wavelet transform and ensemble machine learning algorithms R Nishat Toma, JM Kim Applied Sciences 10 (15), 5251, 2020 | 98 | 2020 |
| Bearing fault classification using ensemble empirical mode decomposition and convolutional neural network R Nishat Toma, CH Kim, JM Kim Electronics 10 (11), 1248, 2021 | 43 | 2021 |
| Electricity theft detection to reduce non-technical loss using support vector machine in smart grid RN Toma, MN Hasan, AA Nahid, B Li 2019 1st International Conference on Advances in Science, Engineering and …, 2019 | 32 | 2019 |
| A deep autoencoder-based convolution neural network framework for bearing fault classification in induction motors RN Toma, F Piltan, JM Kim Sensors 21 (24), 8453, 2021 | 30 | 2021 |
| Classification framework of the bearing faults of an induction motor using wavelet scattering transform-based features RN Toma, Y Gao, F Piltan, K Im, D Shon, TH Yoon, DS Yoo, JM Kim Sensors 22 (22), 8958, 2022 | 14 | 2022 |
| A bearing fault classification framework based on image encoding techniques and a convolutional neural network under different operating conditions RN Toma, F Piltan, K Im, D Shon, TH Yoon, DS Yoo, JM Kim Sensors 22 (13), 4881, 2022 | 13 | 2022 |
| Strict-feedback backstepping digital twin and machine learning solution in AE signals for bearing crack identification F Piltan, RN Toma, D Shon, K Im, HK Choi, DS Yoo, JM Kim Sensors 22 (2), 539, 2022 | 12 | 2022 |
| Analysis the effect of changing height of the substrate of square shaped microstrip patch antenna on the performance for 5G application RN Toma, IA Shohagh, MN Hasan Int. J. Wireless Microw. Technol. 9 (3), 33-45, 2019 | 11 | 2019 |
| Comparative analysis of continuous wavelet transforms on vibration signal in bearing fault diagnosis of induction motor RN Toma, FH Toma, JM Kim 2021 International Conference on Electronics, Communications and Information …, 2021 | 7 | 2021 |
| FPGA implementation of LBlock lightweight block cipher MN Hasan, MT Hasan, RN Toma, M Maniruzzaman 2016 3rd International Conference on Electrical Engineering and Information …, 2016 | 7 | 2016 |
| A Bayesian optimization framework for the prediction of diabetes mellitus MA Rahman, SM Shoaib, M Al Amin, RN Toma, MA Moni, MA Awal 2019 5th International Conference on Advances in Electrical Engineering …, 2019 | 6 | 2019 |
| Induction motor bearing fault diagnosis using statistical time domain features and hypertuning of classifiers RN Toma, JM Kim Advances in Computer Science and Ubiquitous Computing: CSA-CUTE 2019, 259-265, 2021 | 4 | 2021 |
| Home occupancy classification using machine learning techniques along with feature selection AA Nahid, N Sikder, MH Abid, RN Toma, IA Talin, LE Ali Int. J. Eng. Manuf 12, 38, 2022 | 3 | 2022 |
| Real Time Implementation of Driver Drowsiness Monitoring System Using SVM Classifier A Araballi, S Shinde Int. J. Eng. Manuf 13 (3), 48-54, 2023 | 1 | 2023 |
| Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms RN Toma, J Kim International Conference on Intelligent Systems Design and Applications, 243-254, 2021 | 1 | 2021 |
| Estimation of crosstalk noise for RLC interconnects in deep submicron VLSI circuit M Maniruzzaman, S Ahmed, GM Fattah, RN Toma 2015 International Conference on Electrical Engineering and Information …, 2015 | 1 | 2015 |
| Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. RN Toma, Y Gao, JM Kim MLIS, 64-71, 2022 | | 2022 |
| A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. Y Gao, F Piltan, Z Ahmad, RN Toma, JM Kim MLIS, 56-63, 2022 | | 2022 |
Dr. Abdullah-Al Nahidkhulna University, Khulna-9208, Bangladesh and Macquarie University, Sydney, AustraliaVerified email at ku.ac.bd
