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Advances in Artificial Intelligence: Data, Methods and Interdisciplinary Applications

This special issue belongs to the section “E1: Mathematics and Computer Science“.

Special Issue Information

Dear Colleagues,

In recent years, artificial intelligence (AI) and big data methods are becoming widely used toolkits in different scientific fields, such as mathematics, physics, chemistry, biology, security, etc. Apparently, AI technology can integrate and innovate with any disciplinary knowledge, opening a new era of interdisciplinary research. As a kind of data-driven methodology, data, methods, and applications constitute the most essential elements of AI technology research and are worthy of in-depth study and discussion.

The aim of this Special Issue is to publish original research articles covering advances in the data, model, theory, and application of artificial intelligence, especially its interdisciplinary applications, e.g., AI plus mathematics, AI plus physics, or AI plus chemistry. The topics of interest include but are not limited to the following:

  • Analysis of data distribution problem;
  • Analysis of data label problem;
  • Analysis of data quality problems;
  • Deep learning and machine learning;
  • Explainable artificial intelligence;
  • Applications of image analysis;
  • Applications of AI and mathematics;
  • Applications of AI and chemistry;
  • Applications of AI and biology;
  • Other AI interdisciplinary research.

Prof. Dr. Fan Zhang
Prof. Dr. Songhe Feng
Prof. Dr. Yongsheng Zhou
Dr. Junlin Hu
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.

Keywords

  • long-tailed data
  • noisy labeled data
  • deep learning
  • machine learning
  • casual learning
  • image interpretation
  • data inversion
  • natural language processing
  • pattern recognition
  • computer vision

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Mathematics - ISSN 2227-7390