@article{1445635,
      note = {Includes author index.},
      author = {Smys, S. and Tavares, João Manuel R. S., and Balas,  Valentina Emilia,},
      url = {http://library.usi.edu/record/1445635},
      title = {Computational vision and bio-inspired computing :  proceedings of ICCVBIC 2021 /. International Conference on  Computational Vision and Bio Inspired Computing},
      publisher = {Springer,},
      abstract = {This book includes selected papers from the 5th  International Conference on Computational Vision and Bio  Inspired Computing (ICCVBIC 2021), held in Coimbatore,  India, during November 2526, 2021. This 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. It also 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/10.1007/978-981-16-9573-5},
      recid = {1445635},
      pages = {1 online resource},
      address = {Singapore :},
      year = {2022},
}