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1. Ensembling-Pre-trained-Convolutional-Neural-Networks-for-Bangla-Handwritten-Character-Recognition Ensembling-Pre-trained-Convolutional-Neural-Networks-for-Bangla-Handwritten-Character-Recognition Public

   An ensemble learning approach with pre-trained CNNs to achieve better performance in Bangla handwritten character recognition.

   Jupyter Notebook

2. Stacked-BiLSTM-with-Convolutional-Neural-Networks-for-power-consumption-forecasting Stacked-BiLSTM-with-Convolutional-Neural-Networks-for-power-consumption-forecasting Public

   Forecasting power consumption using a stacked bidirectional long short-term memory with convolutional neural networks architecture.

   Jupyter Notebook 1

3. Multi-layer-Stacked-Ensemble-Approach-For-Tabular-Letter-Recongnition Multi-layer-Stacked-Ensemble-Approach-For-Tabular-Letter-Recongnition Public

   A Multilayer stacked ensemble machine learning approach to classify the English alphabet.

   Jupyter Notebook

4. Malware-detection-of-Android-using-native-and-custom-permissions-with-ML-model-Optimization Malware-detection-of-Android-using-native-and-custom-permissions-with-ML-model-Optimization Public

   Utilizing Machine learning (ML) classifiers to detect benign and malicious Android permissions

   Jupyter Notebook

5. Room-occupancy-estimation-with-a-Feedforward-Neural-Network-and-Random-Forest Room-occupancy-estimation-with-a-Feedforward-Neural-Network-and-Random-Forest Public

   Room occupancy estimation with a Feedforward Neural Network and Random Forest using data of multivariate sensor nodes

   Jupyter Notebook

6. Classification-of-Covid-19-using-Pre-trained-convolutional-neural-networks Classification-of-Covid-19-using-Pre-trained-convolutional-neural-networks Public

   Covid-19 classification using pre-trained convolutional neural networks

   Jupyter Notebook