Specimen classification is vital for ecological research, biodiversity monitoring, and animal conservation. Traditionally labor-intensive, this process faces scalability challenges in our era. However ...

In this paper, we propose a hybrid dependable breast cancer detection approach that combines the power of DL using a pre-trained ResNet50V2 model and ensemble-based ML methods. The integration of DL ...

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 ...

Deep-learning based ensemble segmentation technique has been recently introduced in medical image processing in ratio-based sampling for the arteries and veins in abdominal CT scans (Golla et al., ...

The model is explicitly suitable for microscopy images and, having a lightweight architecture, it is challenging the trend of ...