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1. Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-LearningPublic

   This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regres…

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2. Chest-X-Ray-Image_Segmentation_ResUNet Chest-X-Ray-Image_Segmentation_ResUNetPublic

   Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.

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3. Surface-Crack-Detection-with-DL Surface-Crack-Detection-with-DLPublic

   This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, MobileNetV2, ...). Use Surface Crack Detection dataset avail…

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4. Bone-Fracture-Classification Bone-Fracture-ClassificationPublic

   This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we…

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5. Control-of-unstable-processes-with-time-delays-via-ADRC Control-of-unstable-processes-with-time-delays-via-ADRCPublic

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6. Face-mask-detection_DETR Face-mask-detection_DETRPublic

   This is a face mask detection project implemented with the Pytorch. We use End-to-End Object Detection with Transformers model (DETR) and Face Mask Detection dataset available on kaggle.

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