Digital Signal and Image Processing as Underpinned with ML/AI —Technologies and Applications

Dear Colleagues,

Research and exploration of recognition algorithms continues to be of great interest among researchers and practitioners in laboratories, corporations, universities, and various organizations. Such ideas and concepts continue to yield scientific discoveries that support how one set of ideas has given way to another set of ideas throughout scientific discovery. For example, supervised and unsupervised learning algorithms directed for learning and distinguishing between features are vital for improved facial recognition. The onset of Artificial Intelligence (AI) and machine learning (ML) are now dedicated to ultra-fast pattern recognition. Electronic temperature devices and kiosk-based facial scanners with ≤0.5 °C are available via commercial markets; however, higher-performing integrated systems are required globally. The user-friendly human–machine interfaces (HMIs) that swiftly identify potential safety threats and support the mitigation of large-scale exposures are in demand. Additionally, research findings regarding hardware architectures and design of VLSI CMOS chips are moving toward the limits of Moore’s Law. In the area of recognition of characters, recent reports indicate a 64*32-pixel integrated circuit design can perform a pattern recognition and localization in <100 µs. This Special Issue seeks to report recent mathematical developments and machine learning (ML) algorithms as applicable in both the medical and health diagnostic fields.

This Special Issue is dedicated to the presentation of novel approaches and results in the aforementioned areas. It is intended to span many related fields and yet deal with each in a way that can be related. We invite you to submit significant updates to previously published papers or completely new manuscripts for double peer review.

Prof. Dr. H. Bryan Riley
Prof. Dr. Mehmet Celenk
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. Machine Learning and Knowledge Extraction is an international peer-reviewed open access quarterly 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 1800 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.

• autonomous systems
• pattern classification
• medical diagnosis
• diseases
• machine learning
• artificial intelligence
• knowledge representation
• detection and estimation
• negative feedback