Molecular imaging is redefining in vivo characterization of multiple sclerosis, a demyelinating disease with complex and heterogeneous clinical profiles. Recent advances in PET tracers enable more ...
Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...
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 ...
This repository contains the full body of research and code from my master's thesis on the inverse design of photonic structures for dielectric laser acceleration (DLA). The project focuses on ...
This project focuses on the extraction, cleaning, transformation, and preparation of data from the dataset “Korean Drama Dominance vs. Thai and Japanese Drama” in order to feed Machine Learning ...
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