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 ...
Abstract: Existing deep learning-based spatiotemporal fusion (STF) methods for remote sensing images primarily denoise low-frequency features. They neglect the impact of noise in high-frequency ...
Key Finding: NSCT achieves +16.8% SSIM and +2.93 dB PSNR improvement over DWT, winning quality on all 11 test images. wavelets-and-contuorlets/ ├── README.md # This file ├── COMPLETION_REPORT.txt # ...
Abstract: Fault diagnosis (FD) of industrial robots (IRs) plays an increasingly indispensable role in modern manufacturing. Fault-related component obscurity by strong noise, feature exploitation ...
ABSTRACT: Advanced processing of lung sound (LS) recording is a significant means to separate heart sounds (HS) and combined low frequency noise from instruments (NI), with saving its characteristics.
Ever more often, opportunity vessels are used to provide in-situ sea surface temperature and salinity data. In particular, sailing vessels participating in oceanic races are often utilized, as they ...
Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...
A startling milestone has been reached in Florida's war against the invasive Burmese pythons eating their way across the Everglades. The Conservancy of Southwest Florida reports it has captured and ...
The paper describes the wavelet denoising process as follows: The wavelet denoising process played a crucial role in enhancing model accuracy. By transforming noisy data into a cleaner form, the ...
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