@article{1437489,
      note = {Includes author index.},
      author = {Smys, S. and Tavares, João Manuel R. S. and Bešťák,  Robert, and Shi, Fuqian.},
      url = {http://library.usi.edu/record/1437489},
      title = {Computational vision and bio-inspired computing : ICCVBIC  2020 /. ICCVBIC (Conference)},
      publisher = {Springer,},
      abstract = {This book includes selected papers from the 4th  International Conference on Computational Vision and Bio  Inspired Computing (ICCVBIC 2020), held in Coimbatore,  India, from November 19 to 20, 2020. This proceedings book  presents state-of-the-art research innovations in  computational vision and bio-inspired techniques. The book  reveals the theoretical and practical aspects of  bio-inspired computing techniques, like machine learning,  sensor-based models, evolutionary optimization and big data  modeling and management that make use of effectual  computing processes in the bio-inspired systems. As such it  contributes to the novel research that focuses on  developing bio-inspired computing solutions for various  domains, such as humancomputer interaction, image  processing, sensor-based single processing, recommender  systems and facial recognition, which play an indispensable  part in smart agriculture, smart city, biomedical and  business intelligence applications.},
      doi = {https://doi.org/10.1007/978-981-33-6862-0},
      recid = {1437489},
      pages = {1 online resource (857 pages)},
      address = {Singapore :},
      year = {2021},
}