Computational and Mathematical Methods in Science and Engineering II
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 22 July 2024 | Viewed by 1693
Special Issue Editors
Interests: mathematical models; optimization; artificial intelligence; machine learning; folding problems; forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; optimization algorithms; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: combinatorial optimization; machine learning; metaheuristics; genetic algorithms; multiobjective optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a continuation of our previous Special Issue, entitled "Computational and Mathematical Methods in Science and Engineering". This Special Issue is seeking papers related to computational and mathematical methods for science and engineering. We aim to publish papers that address mathematical and computational methods in engineering and information science, which include new strategies from science and engineering areas such as differential equations, optimization, operations research, stochastic and probabilistic models, and artificial intelligence. We plan to gather high-quality contributions on new mathematical and computational methods for current problems, providing new knowledge in this scientific field.
We encourage the submission of papers from a variety of fields, including applications in physics, biology, proteomics, chemistry, finance, economy, and computational medicine. Research exploring specific areas such as pandemics concerning current problems such as COVID-19, diabetes, cancer, HIV, and other medical problems is welcome. Additionally, publications enhancing existing algorithms, methods, and mathematical analyses for important issues are welcome. Topics of interest for this Special Issue include, but are not limited to, the following subjects:
- Computer and mathematical modeling;
- Heuristic and exact algorithms;
- Single- and multi-objective optimization;
- Numerical methods for partial differential equations;
- Forecasting for energy and climate change;
- Machine and deep learning;
- Dynamic systems and signal processing;
- Big data, data mining, and data science;
- Scheduling and timetabling;
- Proteomics, docking, and protein folding problem.
We encourage researchers within this field to contribute original research and review papers before the deadline for this Special Issue.
Prof. Dr. Juan Frausto Solis
Dr. Juan Paulo Sánchez
Dr. Guadalupe Castilla Valdez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
