Artificial Intelligence and Machine Learning Based Methods and Applications

Dear Colleagues,

Recent developments in artificial intelligence and especially machine learning have led these fields of research from purely theoretic approaches to fully applied industrial research not only in computer science, but in pretty much every other conceivable domain as well.

Globally, artificial intelligence (AI) has become one of the core areas providing fundamental building blocks for computer vision systems, computational modeling, security threat assessment, systems mimicking biological intelligence, multiagent systems, data transformation methods, etc.

The purpose of this Special Issue is to provide a research-publishing environment where articles with the latest developments not only in theoretical mathematical aspects of AI and machine learning, but also practical applications of ML and AI in computer vision, vision systems, statistical learning, reinforcement learning, and deep learning, data analysis and filtering, data transformation, speech processing, clustering and classification, knowledge extraction and discovery, natural language processing, and parallel and distributed AI methods could be submitted.

Contributions are welcome on both theoretical and practical models. The selection criteria will be based on formal and technical soundness, experimental support, and the relevance of the contribution.

Dr. Adrian Sergiu Darabant
Dr. Diana-Laura Borza
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 250 words) can be sent to the Editorial Office for assessment.

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.