ABSTRACT: 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 ...

Ouroboros is a production-ready autonomous software engineering system that transforms natural language instructions into safe, high-quality code refactorings. It combines cutting-edge AI techniques ...

According to Andrej Karpathy, the application of discrete diffusion models to text generation offers a simple yet powerful alternative to traditional autoregressive methods, as illustrated in his ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

The LIBS measurement system primarily consisted of an Nd:YAG laser (Dwa-200, Beijing LeiBao Photoelectric Technology Co., Ltd., China), a multichannel spectrometer (AvaSpec-ULS2048, Avantes, ...

This data loss can obscure critical details, affect measurements, or even compromise downstream AI model performance. Therefore, it’s important to remove noise from the image to preserve its details ...

I'm trying to locate the exact place in the codebase where the filter coefficients (e.g., for db3) are defined. I'm aware that they can be accessed at runtime using: import pywt w = pywt.Wavelet('db3' ...

Neuroelectronics, Munich Institute of Biomedical Engineering, Department of Electrical Engineering, School of Computation, Information and Technology, Technical University of Munich, Garching 85748, ...

Due to the many difficulties in accurately locating edges or boundaries in images of animals, plants, buildings, and the like with complex backgrounds, edge detection has become one of the most ...