Minkowski–Bouligand dimension

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Introduces dimensioning structures with force diagrams, balance, and sizing.

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Explores Tori in algebraic geometry, emphasizing character forms and monomials.

Explores the resolution of one-dimensional boundary problems with different cord models and highlights the distinction from other types of problems.

Delves into the challenges of deep learning, exploring dimensionality, performance, and overfitting phenomena in neural networks.

Explores electron kinetic energy estimation in a confined box and its comparison with electrostatic interaction energy.

Covers Lie groups, Lorentz transformations, boosts, rotations, and complexified Lie algebras.

Explores fractal dimensions in polymer behavior, focusing on excluded volume and intersections within polymers.

Explores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.

Covers geometric properties, spatial arrangement, autocorrelation, and neighbourhood analysis in geographic information systems.