LEADER 01566nam a2200373 i 4500001    99129136336906421
005    20230731000128.0
006    m     o  d |
007    cr nn 008mamaa
008    230731s2023    si a    ob    001 0 eng d
020    981-19-9819-1
024 7  10.1007/978-981-19-9819-5 |2doi
035    (CKB)5840000000241882
035    (DE-He213)978-981-19-9819-5
035    (MiAaPQ)EBC7236622
035    (Au-PeEL)EBL7236622
035    (PPN)269657207
035    (EXLCZ)995840000000241882
040    MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ
050  4 TA1634 |b.C667 2023
072  7 UYQ |2bicssc
072  7 TEC009000 |2bisacsh
072  7 UYQ |2thema
082 0  006.37 |223
245 00 Computational vision and bio-inspired computing : |bproceedings of ICCVBIC 2022 / |cedited by S. Smys, João Manuel R. S. Tavares, and Fuqian Shi.
250    1st ed. 2023.
264  1 Singapore : |bSpringer, |c[2023]
264  4  |c©2023
300    1 online resource (XVIII, 827 p. 434 illus., 344 illus. in color.)
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
490 1  Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1439
520    This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes 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.
588    Description based on print version record.
504    Includes bibliographical references and index.
650  0 Computer vision |vCongresses.
650  0 Natural computation |vCongresses.
776     |z981-19-9818-3
700 1  Smys, S., |eeditor.
700 1  Tavares, João Manuel R. S., |eeditor.
700 1  Shi, Fuqian, |eeditor.
830  0 Advances in Intelligent Systems and Computing, |x2194-5365 ; |v1439
906    BOOK