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1. Fault-Detection-in-DC-microgrids Fault-Detection-in-DC-microgrids Public

   Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine lear…

   Jupyter Notebook 39 1

2. MRI-MS-Plaques-Segmentation MRI-MS-Plaques-Segmentation Public

   A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.

   Jupyter Notebook 39 2

3. ADHDeepNet ADHDeepNet Public

   ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS…

   Jupyter Notebook 41

4. SAM-Breast-Tumor-Segmentation SAM-Breast-Tumor-Segmentation Public

   Developed a custom application of the Segment Anything Model (SAM) for breast cancer tissue segmentation, utilizing Hugging Face's Transformers and fine-tuning the decoder to predict segmentation m…

   Jupyter Notebook 38 1

5. Metaheuristic-Optimization Metaheuristic-Optimization Public

   Projects with Genetic Algorithm (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO)

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6. Neuro-Vision-Transformer Neuro-Vision-Transformer Public

   Developed the Neuro Vision Transformer, an innovative machine learning model utilizing Vision Transformer architecture for EEG signal classification, focusing on distinguishing ADHD from healthy pa…

   Jupyter Notebook 24 1