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Herausgeber: 
  • D. Jude Hemanth
  • S. Smys
  • Computational Vision and Bio Inspired Computing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Mai 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Biomedical engineering / Biomedical Engineering and Bioengineering / Biomedical Engineering/Biotechnology / biotechnology / C / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / engineering / Image processing / Optical data processing / Signal Processing / Signal, Image and Speech Processing / Signal, Speech and Image Processing / Speech processing systems
    ISBN:  9783319891002 
    EAN-Code: 
    9783319891002 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #28 - Lecture Notes in Computational Vision and Biomechanics  
    Dimensionen:  H 235 mm / B 155 mm / D 58 mm 
    Gewicht:  1919 gr 
    Seiten:  1156 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements.

     

    The work  also provides potential directions for future research.  


      
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