Advancements in Mathematical Models, Probability Distributions, and Digital Twins: Bridging the Gap between Theory and Practice
A special issue of Mathematical and Computational Applications (ISSN 2297-8747).
Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 7544
Special Issue Editor
Interests: applied statistics; computational mathematical methods; distribution theory; linear models; prediction; statistical inference
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Merging math and digital twin approaches is crucial both presently and in the future. Integrated models facilitate live simulations, predictive analytics, and prompt adaptation to evolving circumstances. They are priceless for optimizing processes and making informed decisions.
This Special Issue aims to serve as a catalyst for further research and investigation, stimulating intellectual discourse and inspiring future studies combining mathematical and digital twin approaches. The goal is to capture the progress in this area and provide insights for new scholars and experienced researchers. We look forward to contributions that bridge theory and practice in this area and to submitting novel and original research. Possible topics include, but are not restricted to
- Examining the applications of digital twins in manufacturing, IoT, and industry;
- Developing statistical methods to assess the accuracy and reliability of digital twin predictions;
- Hybrid Models: Combining mathematical and digital twin approaches, as well as investigating the synergies and integration of mathematical models with digital twin technologies;
- Uncertainty Quantification in Digital Twins: Addressing uncertainty and variability in digital twin simulations via probabilistic modeling;
- How to apply networked digital twin systems to large-scale applications;
- Data-driven approaches for digital twins;
- Environmental Modeling and Simulation: Focusing on mathematical and digital twin models for environmental monitoring and sustainability;
- Prospects and Ethical Considerations: Discussing the potential of mathematical models, probability distributions, and digital twins in shaping our future, along with ethical considerations and challenges.
The articles within this Special Issue will enhance the comprehension of mathematical models, probability distributions, and digital twins. This publication will also function as an extensive point of reference for both scholars and professionals, as its purpose is to encapsulate the current pinnacle of achievement within this discipline and offer valuable insights to those commencing their exploration of the subject. In essence, it will bridge the chasm between theoretical concepts and pragmatic implementations in mathematical modeling and digital twins.
For further information, please send an email to sandraf@ubi.pt.
Dr. Sandra Ferreira
Guest Editor
Manuscript Submission Information
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Keywords
- digital twins
- statistical methods
- uncertainty quantification
- data-driven approaches
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