Advances in Continuous and Discrete Models

Call for papers: Artificial Intelligence and Machine Learning in Imaging Science

Advances in Continuous and Discrete Models is calling for submissions to our Collection on Artificial Intelligence and Machine Learning in Imaging Science. The primary objective of this collection is to provide a platform for scholars to disseminate cutting-edge research, innovative methodologies, and insightful findings in the domains of Image Processing, Data Science, Artificial Intelligence, and Machine Learning. We cordially invite researchers to contribute original research articles, reviews, or survey papers that showcase their work, given their expertise and notable research accomplishments in these areas.

Featured Collection: New Mathematical Trends in the Study of Materials Behavior

This collection provides an up-to-date view of the broad research field of nonlinear PDEs and material science with an attention to modeling, analysis and computation of fluid and solid dynamics, elasticity, complex materials and environmental phenomena. The emergence of scale structures driven by nonlinearities constitutes a major challenge to understanding continuum physics deeply founded in the PDEs framework.

Giuseppe Mario Coclite, Professore Ordinario di Analisi Matematica at Politecnico di Bari in Italy, and Francesco Maddalena, Associate Professor of Mathematical Analysis at Politecnico di Bari in Italy, were our esteemed guest editors for this collection.