We present a machine learning framework capable of consistently inferring mathematical
expressions of hyperelastic energy functionals for incompressible materials from sparse …

Symbolic regression (SR), exploring mathematical expressions from a given data set to
construct an interpretable model, emerges as a powerful computational technique with the …

In this article, we combine deep symbolic regression (DSR) and ensemble optimal
interpolation‐based data assimilation (DA) methods to correct the error in forecasts from the …

Channel modeling is crucial for inter-satellite terahertz communication system design. The
conventional method involves manually constructing a mathematical channel model, which …

One important parameter in the Black–Scholes option pricing model is the implied volatility.
Implied volatility surface (IVS) is an important concept in finance that describes the variation …

This research explores the use of Deep Symbolic Regression (DSR) to develop a
sophisticated predictive model for the fundamental period of vibration in concentrically steel …

Monte-Carlo tree search (MCTS) is an effective anytime algorithm with a vast amount of
applications. It strategically allocates computational resources to focus on promising …

Verinin enformasyona enformasyonun bilgiye bilginin ise bilgeliğe dönüştürülme süreci
günümüzde üretilen veri miktarları göz önüne alındığında baş edilmesi güç bir sürece …

Streszczenie polskie Przewlekłe choroby układu oddechowego stanowią poważny i
wymagający problem, przed którym stoi współczesna nauka i opieka zdrowotna. 650 …