This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the accuracy ...
stylegan-generation/ ├── README.md # Project documentation ├── requirements.txt # Python dependencies ├── setup.py # Package setup ├── LICENSE ...
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 ...
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 ...
Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...
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 ...
Abstract: This brief proposes a novel data-format-based image deblurring accelerator with layer normalization and UNet architecture optimization for mobile cameras. As the demand for photography in ...
The well-funded and innovative French AI startup Mistral AI is introducing a new service for enterprise customers and independent software developers alike. Mistral's Agents application programming ...
Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...
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