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Advances in Continuous and Discrete Models

Theory and Modern Applications

Advances in Continuous and Discrete Models Cover Image

Call for papers: Innovations in Data Science Research for Future Computing Era

Advances in Continuous and Discrete Models is calling for submissions to our Collection on Innovations in Data Science Research for Future Computing Era. This Collection aims to bring out the innovations in data science research for the future computing era. We welcome researchers and practitioners working in this discipline to present their novel and unpublished research findings.

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. 

Aims and Scope

Computational and applied mathematics along with data science play a vital role in contemporary society by driving innovation. This success can be attributed to revolutionary theoretical and algorithmic developments in machine learning, data driven modeling, differential equations, numerical analysis, scientific computing, control, optimization, and computing resources together with new tools to deal with uncertainty and randomness.

This journal encourages new research in these broad areas. In addition to research on algorithmic and analytical developments, the journal also encourages papers related to (but not limited to) broad applications in Signal and Image Processing, Computer Vision, Materials Science, Mathematical Biology and Bioengineering. As a result, the journal will be an excellent connecting bridge between mathematical research and real world applications. 

The journal accepts high-quality articles containing original research results and survey articles of exceptional merit.  To see full descriptions of each journal section, please click through the link in the Aims and Scope title or go to the 'About' section in the top banner. 

Meet the Editors-in-Chief

Harbir Antil is Founder and Director at the Center for Mathematics and Artificial Intelligence as well as a Professor in the Department of Mathematical Sciences at George Mason University in Virginia, USA. His research interests include calculus of variations, inverse problems, numerical analysis, scientific computing and software development, and dimensional reduction. 
Recent Publications

Xue-Cheng Tai is a professor at the Hong Kong Center for Cerebro-cardiovascular Health Engineering (COCHE). His research interests include numerical PDEs, optimization techniques, inverse problems, and image processing. 
Recent Publications

Enrique Zuazua is Chair for Dynamics, Control and Numerics in the Department of Data Science at Friedric-Alexander Universität in Germany. his fields of expertise include PDEs, Control Theory, and Numerical Analysis. 
Recent Publications

Click here to view the new editorial board for Advances in Continuous and Discrete Models: Theory and Applications. 

Articles

Articles Collections

Thematic Series
Artificial Intelligence and Machine Learning in Imaging Science
Advances in Continuous and Discrete Models
Edited by Michael Ng (Hong Kong Baptist University, China), Stacey Levin (Duquesne University, USA) and Xue-Cheng Tai [Norwegian Research Center (NORCE), Norway]
Submission deadline: 31 May 2024

Thematic series
New Mathematical Trends in the Study of Materials Behavior
Advances in Continuous and Discrete Models
Edited by Giuseppe Coclite (Polytechnic University of Bari, Italy) and Francesco Maddalena (Polytechnic University of Bari, Italy)
Collection: Closed

Thematic Series
Nonlinear Waves, Kinetic Theory, and Related Topics: A Tribute to the Memory of Jean Ginibre
Edited by: Tran Minh Binh (Texas A&M, USA)
Collection: Ongoing



View all collections

Annual Journal Metrics

  • 2022 Citation Impact
    4.1 - 2-year Impact Factor
    2.9 - 5-year Impact Factor
    1.702 - SNIP (Source Normalized Impact per Paper)
    0.672 - SJR (SCImago Journal Rank)

    2022 Speed
    12 days submission to first editorial decision for all manuscripts (Median)
    235 days submission to accept (Median)

    2022 Usage 
    927,536 downloads
    9 Altmetric mentions