Nature-Inspired Algorithms for Sensor Networks and Image Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 42981
Special Issue Editors
Interests: nature-inspired algorithms; metaheuristics; unsupervised learning; clustering
Special Issues, Collections and Topics in MDPI journals
Interests: quality of experience; video streaming; mobile users; field study; subjective experiments; ecological validity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nature-inspired algorithms mimicking mechanisms such as evolution, cognitive and neural processes, or swarming behaviors have been found to be excellent problem solvers in science and engineering. Their abilities to automatically extract useful information from unstructured data, adaptability, and robustness as well as the growing capabilities of computational hardware make them a top choice for many complex problems.
Our Special Issue will accept a broad range of new advances in the field of nature-inspired algorithms in both the fields of sensor networks and image processing. We invite contributions describing new techniques, novel data representations, and evaluation criteria, as well as papers dealing with specific case studies. A limited number of state-of-the-art reviews will also be considered for publication.
Prof. Dr. Szymon Łukasik
Prof. Dr. Mikołaj Leszczuk
Prof. Dr. Szymon Szott
Guest Editors
Manuscript Submission Information
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Keywords
- Sensor networks
- Image processing
- Nature-inspired algorithms
- Metaheuristics
- Neural networks
- Deep learning
- Fuzzy logic
- Quality of experience
- Video streaming
- Mobile users
- Field study
- Subjective experiments
- Ecological validity
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