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_a10.1007/978-3-319-71767-8 _2doi |
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_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. |
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300 |
_aXII, 1143 p. 608 illus., 399 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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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 |
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650 | 0 |
_aBiomedical engineering. _93292 |
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650 | 0 |
_aImage processing—Digital techniques. _931565 |
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650 | 0 |
_aComputer vision. _954896 |
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650 | 0 |
_aBiotechnology. _97533 |
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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. _4edt _4http://id.loc.gov/vocabulary/relators/edt _954897 |
|
700 | 1 |
_aSmys, S. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _954898 |
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_aSpringerLink (Online service) _954899 |
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_iPrinted edition: _z9783319717661 |
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_iPrinted edition: _z9783319717685 |
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_iPrinted edition: _z9783319891002 |
830 | 0 |
_aLecture Notes in Computational Vision and Biomechanics, _x2212-9413 ; _v28 _954900 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-71767-8 |
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