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Intelligent Computational Systems for Scientific Problems: Principles, Methodologies, and Intricate Data Classification

Lukas Steiner, Anna Gruber

The increasing complexity, dimensionality, and dynamical nature of scientific and engineering problems have created a growing demand for computational systems capable of learning from data, representing nonlinear relationships, solving optimization problems, and supporting decision-making under uncertainty. Intelligent computational systems…