Nome da Revista: Physica A: Statistical Mechanics and its Applications
Classificação: B2
Dossiê Temático: "Machine lEarning aNd Data sciEnce foR dynamic Systems"
Prazo: 01/03/2022
Titulação: não informado.
Link para a chamada: clique aqui
Texto da chamada
The intersection of the fields of machine learning and data science for dynamic systems is largely unexplored, and the goal of this special issue is to bring together contributions from these fields to fill the gap between these theories in the following directions:
- Data Science for Machine Learning: how well does the data can be used to train a model which can better represent a physical phenomena.
- Machine Learning for Data Science: how to assist or replace the traditional tools used in data science, e.g. data analysis and data assimilation, without the unrealistic assumption (particularly linearity, normality and zero error covariance) of the conventional methods.
Guest editors:
Rossella Arcucci, PhD
Imperial College London, UK
Ionel Michael Navon, PhD
Florida State University, US
Manuscript submission information:
Before submission authors should carefully read the journal’s Author Guidelines, which are located at https://www.elsevier.com/journals/physica-a-statistical-mechanics-and-its-applications/0378-4371/guide-for-authors
Manuscript Due: 1st March 2022
(Please choose article type “MENDERS” during the online submission of your manuscript.)
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Interested in becoming a guest editor? Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field: https://www.elsevier.com/editors/role-of-an-editor/guest-editors