The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...
Introduction: Over the past few decades, China has vigorously advanced its strategy to build a powerful transportation network, constructing and maintaining numerous slope engineering projects.
An unsupervised artificial neural network called an autoencoder is trained to replicate its input into its output. The image will be encoded into a lower-dimensional representation by an autoencoder, ...
Intuitively, KAN seems a natural good representation of signals, especialy of audio signals which can be decomposed into sinusoidal signals. Thus, this repo is created to investigate the potential of ...
Abstract: Fiber orientation distributions (FODs) are widely used in connectome analysis based on diffusion MRI. Spherical har-monics (SPHARMs) are often used for the efficient repre-sentation of FODs; ...
Abstract: Autoencoder is one of the most prominent methods in detecting attacks in RT-IoT2022 because the unsupervised learning method can capture abnormal patterns in the dataset. However, finding ...
Semantic communication systems, powered by Generative AI (GenAI), enable the efficient transmission of semantic meaning rather than raw data. However, these systems remain highly vulnerable to ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback