Abstract: Unsigned distance fields (UDFs) provide a versatile framework for representing a diverse array of 3D shapes, encompassing both watertight and non-watertight geometries. Traditional UDF ...
Abstract: Homomorphic Encryption (HE) enables secure computations on encrypted data, facilitating machine learning inference in sensitive environments such as healthcare and finance. However, ...
Abstract: In this work, a chaotic neural network model for epilepsy is studied. The network is modeled as a discrete map, consisting of two layers, in which the presence of chaos denotes healthy ...
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