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024 7 _a10.1007/978-3-319-71767-8
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082 0 4 _a621.382
_223
245 1 0 _aComputational Vision and Bio Inspired Computing
_h[electronic resource] /
_cedited by D. Jude Hemanth, S. Smys.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXII, 1143 p. 608 illus., 399 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9413 ;
_v28
505 0 _aGenetic 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.
520 _aThis 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. .
650 0 _aSignal processing.
_94052
650 0 _aBiomedical engineering.
_93292
650 0 _aImage processing—Digital techniques.
_931565
650 0 _aComputer vision.
_954896
650 0 _aBiotechnology.
_97533
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aBiotechnology.
_97533
700 1 _aHemanth, D. Jude.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_954897
700 1 _aSmys, S.
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_954898
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319717685
776 0 8 _iPrinted edition:
_z9783319891002
830 0 _aLecture Notes in Computational Vision and Biomechanics,
_x2212-9413 ;
_v28
_954900
856 4 0 _uhttps://doi.org/10.1007/978-3-319-71767-8
912 _aZDB-2-ENG
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