rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Computational Vision and Bio Inspired Computing
  name:
    name part: Hemanth, D. Jude.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Smys, S.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 1143 p. 608 illus., 399 illus. in color. online resource.
  abstract: 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. .
  table of contents: Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function -- A types of Multi-Granular nanotopology and its applications -- Curvelet based ECG steganography for protection of data -- Detection of Menisci Tears in Sports Injured and Pathological Knee Joint using Image Processing Techniques -- Assisting Visually Challenged Person in the Library Environment -- Diabetic Retinopathy Detection in Fundus Image Using Cross Sectional Profiles and ANN -- Image Based Group Happiness Intensity Analysis -- A Portable Back Propagation Network Classifier For Lung Cancer Associated Volatile Organic Compound Detection.
  note: edited by D. Jude Hemanth, S. Smys.
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Biomedical engineering
  subject:
    topic: Optical data processing
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Biomedical Engineering/Biotechnology
  classification: TK5102.9
  classification: TA1637-1638
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computational Vision and Biomechanics, 28
  identifier: 9783319717678
  identifier: https://doi.org/10.1007/978-3-319-71767-8
  record info:
    record creation date: 180219
    record change date: 20191022121136.0
    record identifier: 978-3-319-71767-8