MS
Publications
- Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images
- Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation
- Enhancing Influenza Detection through Integrative Machine Learning and Nasopharyngeal Metabolomic Profiling: A Comprehensive Study
- Integrative Stacking Machine Learning Model for Small Cell Lung Cancer Prediction Using Metabolomics Profiling
- Detection of Diabetes Using 1D Convolutional Neural Network from Short Time PPG Signal
- Classification and segmentation of kidney MRI images for chronic kidney disease detection
- A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns
- A Comparative Study of Decoders for Liver and Tumor Segmentation Using a Self-ONN-Based Cascaded Framework
- Unraveling emotions: Harnessing pre-trained convolutional neural networks for electroencephalogram signal analysis
- ECCDN-Net: A deep learning-based technique for efficient organic and recyclable waste classification
- Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
- Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
- Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Records: A Systematic Review
- GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults
- Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model
- A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome
- A Comprehensive Machine Learning Approach for COVID-19 Target Discovery in the Small-Molecule Metabolome