Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...
Awuh, M.E. (2026) Spatial Clustering Patterns of Thermal Extremes over Epochs in Douala, Littoral Region of Cameroon.
Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
Genentech's native HIC-MS method uses ammonium tartrate, enabling efficient MS detection without compromising chromatographic ...
Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...
A PyTorch implementation of Denoising Diffusion Probabilistic Models (DDPM) from scratch, focusing on image generation. This project provides a clean, modular, and well-documented implementation of ...
Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...
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