In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that simultaneously encode ...

The approach begins with a 2D convolutional neural network (CNN) combined with a variation autoencoder for precise classification of cough sounds. Additionally, a UNet-based encoder-decoder ...

– Solved for maximum von Mises stress in a composite domain with random material distribution using deep learning. – Implemented CNN for direct regression and UNet to reconstruct the stress field and ...

Contribute to mahesh-techi/BRAIN-TUMOR-DETECTION-USING-CNN---BASED-ON-UNET development by creating an account on GitHub.