Bioinspiration: The Path from Engineering to Nature II
A special issue of Computation (ISSN 2079-3197).
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 2941
Special Issue Editors
Interests: artificial neural networks; evolutionary computation; AI-assisted design and modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Bioinspiration, understood as the use of biological processes for inspiration in engineering and computational designs, has become a widespread approach for both the engineer and the computational scientist to study, model, and resolve complex issues. Technological advances, such as the increasing affordability of high-performance computational resources, extensive, fast, and accessible storage capacities, high-speed communication networks, along with a growing and vibrant international practitioner community, make the field an attractive opportunity to develop innovative solutions to the increasingly complex and uncertain issues humanity is facing today, which are impossible to face by means of classical or analytical paradigms.
Furthermore, it has also been recognized that bioinspired approaches stimulate synergy among scientific disciplines. Multi- and transdisciplinary work have become essential for the advancement of this area. Researchers from different knowledge fields can contribute toward unified goals, sharing their perspectives through discussion, interaction, and collaboration, which leads to bioinspired knowledge discovery and dissemination. Such processes enrich scientists’ respective areas of interest and open new possibilities for their studies.
It is with this horizon in mind that we have launched this Special Issue. Published works are expected to be the result of multi- and transdisciplinary efforts, which present innovative findings beyond each expert’s specific knowledge area. We look forward to contributions that not only propose new bioinspired engineering and computational methods and solutions, but are exemplary of an effective and rewarding collaboration between colleagues from diverse areas that will continue to contribute to the growth of the field.
Dr. Juan Luis Crespo-Mariño
Dr. Marvin Coto-Jiménez
Guest Editors
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Keywords
- biodiversity informatics (application of ICT to biodiversity conservation)
- bioinformatics and biocomputing
- bioinspired artificial intelligence
- bioinspired big data analysis
- bioinspired electronic and computational devices
- bioinspired high-performance computing
- bioinspired image and sound processing for health and life sciences
- bioinspired machine learning
- bioinspired materials and biomimetics
- bioinspired robotics
- bioinspired social network analysis and modeling
- bioinspired pattern recognition and classification
- bioinspired signal recognition
- computational systems biology
- computer-related genomics and molecular structure, function, and evolution
- computer-related issues regarding the structure and function of DNA and RNA, and the interaction of proteins
- dynamic models of metabolic, signaling, and gene expression networks
- evolutionary systems
- signal and image detection, acquisition, analysis, and processing
- social network analysis and modeling
- pattern recognition for biological and related signals
- bioinformatics, biocomputing, and computational system biology
- data mining and machine learning
- healthcare informatics
- robotics
- biomedical devices
- machine learning in agriculture
- biodiversity informatics
- visual analytics for biological information
- high performance computing for health and life sciences
- models of biological learning
- brain–machine interfaces
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