Rafia Nishat Toma

Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

Md. Nazmul Hasan, Rafia Nishat Toma, Abdullah-Al Nahid et al. · Energies · 2019 · 358 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Rafia Nishat Toma, Alexander E. Prosvirin, Jong-Myon Kim · Sensors · 2020 · 270 citations · Full text

Fault Diagnosis, Condition Monitoring, Engineering +15

Bearing Fault Classification of Induction Motors Using Discrete Wavelet Transform and Ensemble Machine Learning Algorithms

Rafia Nishat Toma, Jong-Myon Kim · Applied Sciences · 2020 · 128 citations · Full text

Ensemble Machine Learning, Fault Diagnosis, Condition Monitoring +13

Bearing Fault Classification Using Ensemble Empirical Mode Decomposition and Convolutional Neural Network

Rafia Nishat Toma, Cheol Hong Kim, Jong-Myon Kim · Electronics · 2021 · 64 citations · Full text

Fault Diagnosis, Condition Monitoring, Convolutional Neural Network +12

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors

Rafia Nishat Toma, Farzin Piltan, Jong-Myon Kim · Sensors · 2021 · 45 citations · Full text

Artificial Intelligence, Fault Diagnosis, Convolutional Neural Network +13