Advances in Information Entropy: Exploring the Role of Entropy in AI and Signal Processing
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 246
Special Issue Editors
Interests: artificial intelligence; information theory; signal processing; fluid mechanics; entropy coding of signals; deep learning methods; neural networks
Interests: edge computing; big data analytics; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue aims to explore the applications and advancements of information entropy in the fields of artificial intelligence (AI) and signal processing. Entropy, as a fundamental concept in information theory, plays a crucial role in various domains such as data compression, pattern recognition, machine learning, and signal processing. It provides valuable insights into the complexity and structure of data by measuring uncertainty and randomness. As AI and signal processing techniques rapidly advance, leveraging entropy has become increasingly important in addressing complex problems, enhancing data analysis, and improving decision-making processes. This Special Issue seeks to collate cutting-edge research that explores the utilization of information entropy in AI and signal processing, fostering innovation and new methodologies in these fields.
Prof. Dr. Kelvin Wong
Dr. Tingxi Wen
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. Entropy 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 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
- information entropy
- artificial intelligence
- complexity analysis
- decision making
- computational intelligence
- signal processing
