By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

A computer is nothing without the components or parts inside of it. Many users are taking advantage of what these powerful machines offer, yet have no idea what components make them tick. Bear in mind ...

Quantum computing holds immense promise for solving complex problems beyond the reach of classical computers. However, the realization of practical quantum computers ...

ABSTRACT: The immense quest for proficient numerical schemes for the solution of mathematical models featuring nonlinear differential equations led to the realization of the Adomian decomposition ...

Nonlinear systems can be decomposed into observable and unobservable subsystems in theory, but achieving this decomposition in a data-driven framework is challenging. Koopman operators enable us to ...

School of Electronics Engineering, Vellore Institute of Technology, Vellore, India In general, extraction and classification are used in various fields like image processing, pattern recognition, ...

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