Abstract: The Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that was developed in 2019. It is one of the metaheuristic algorithms that has been used by researchers to solve ...

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At the foot of the thickly forested Dashi Hill, in southern China’s Guangdong province, pre-approved visitors can take a ride aboard a unique yellow train. Rather than winding through the serene ...

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...

When a guitar string is plucked or a playground swing is set in motion, the movement gradually fades away. Physicists call these “damped harmonic oscillators,” and Newton’s laws do a fine job of ...

Abstract: In this work, we present an approach for training parametrized physics informed neural networks to solve PDEs in a self supervised fashion, which means that no labeled input-output data is ...

The two most chaotic forces in modern science – artificial intelligence and quantum mechanics – may be humanity’s best hope for solving our greatest challenges, writes Satyen K. Bordoloi When ...