Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Abstract: This work studies the online parameter identification of cost functions in a generalized Nash game, where each player's cost function is influenced by an observable signal and some unknown ...

Abstract: In this paper, a new family of four-parameter activation functions, referred to as KANB, is introduced to improve the performance of artificial neural networks (ANNs). The activation ...

Proteins, essential molecular machines evolved over billions of years, perform critical life-sustaining functions encoded in their sequences and revealed through their 3D structures. Decoding their ...

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We conducted a retrospective cross-sectional study involving 177,540 individuals with thyroid function tests and MAFLD diagnosis from 2010-2018. The association between thyroid function parameters and ...