Entropy on Biosignals and Intelligent Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (31 July 2016) | Viewed by 48133
Special Issue Editors
Interests: biometrics; biomedical signals; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: bayesian inference; discriminative information; prediction systems; biomathemathics; data mining; clustering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Many specifics of biosignals and intelligent systems are not well addressed by the conventional models currently used in the field of artificial intelligence. The purpose of the Special Issue on “Entropy on Biosignals and Intelligent Systems” is to present and discuss novel ideas, work, and results related to alternative techniques for bioinspired approaches, which depart from mainstream procedures.
Nowadays, studies based on complex systems has opened new doors in research fields and, in particular, to improve the quality and the results of diverse applications. Biosignals and intelligent systems easily take care of this task, and are also useful in areas such as biodiversity conservation, biomedicine, security applications, etc.
This Special Issue focuses on original and new research results concerning bioinspired systems in science and engineering. Manuscripts discussing biosignals and intelligent systems, and their entropy on applications, are welcome; additionally, submissions addressing novel issues, as well as those addressing more specific topics that illustrate the broad impact of bioinspired entropy-based techniques on image coding, processing and analysis, signal processing and analysis, natural sounds, and video analysis, are welcome.
Dr. Carlos M. Travieso
Dr. Jesus B. Alonso
Guest Editors
Keywords
- biosignal entropy
- pattern recognition
- entropy in natural environments
- artificial intelligence techniques
- biomedical engineering
- bioinformatics
- clustering
- data mining
- biomathemathics
- biostatistic