A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

[ECCV 2024] Official implementation of "Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization" Multiview matching with deep-learning and ...

Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...

ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Breastfeeding is a natural bodily function, a necessity to help keep babies alive, but it's often shrouded in shame and misunderstanding. In honor of Breastfeeding Awareness Month, here are empowering ...

Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. The image analysis ...