AI, Machine Learning and Deep Learning in Signal Processing, 2nd Edition

Dear Colleagues,

Recently, the entire field of signal processing has been facing new challenges and paradigm shifts due to the dramatic improvement of computational performance in hardware and an exponential increase in devices interconnected via the Internet. As a consequence, the tremendous data volume generated by such applications have to be analyzed and processed to provide useful, reliable and meaningful information.

Artificial intelligence (AI), and in particular machine (deep) learning, provides novel tools to be exploited in the field of signal processing. Consequently, new approaches, methods, theories, and tools have to be developed by the signal processing community to analyze and account for generated data volumes.

The Special Issue aims at attracting manuscripts presenting novel methods and innovative applications of AI and machine learning (including deep learning) on topics in the signal processing area. Such topics include (but are not limited to) multimedia systems, audio and video processing, and augmented and virtual reality. The objective of the Special Issue is to bring together recent high-quality works in AI to promote key advances in signal processing areas covered by the journal and to provide reviews of the state of the art in these emerging domains.

Dr. Mara Pistellato
Prof. Dr. Byung-Gyu Kim
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. Applied Sciences 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 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.