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020			_a9789813368620
024	7		_a10.1007/978-981-33-6862-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1634 _b2021 EB
245	1	0	_aComputational Vision and Bio-Inspired Computing : _bICCVBIC 2020 _cedited by S. Smys, João Manuel R. S. Tavares, Robert Bestak, Fuqian Shi.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XX, 871 páginas) _b467 ilustraciones, 355 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5365 _v1318
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aChapter 1. Smart Surveillance Syst+D2:F64em by Face Recognition and Tracking using Machine Learning Techniques -- Chapter 2. Object-based Neural Model in Multicore Environments with Improved Biological Plausibility -- Chapter 3. Advancement in Classification of X Ray Images Using Radial basis Function with Support of Canny Edge Detection Model -- Chapter 4. Brain Tumour Three Class Classification on MRI Scans using Transfer Learning and Data Augmentation -- Chapter 5. Assessing the Statistical Significance of Pairwise Gapped Global Sequence Alignment of DNA Nucleotides using Monte-Carlo Techniques -- Chapter 6. Principal Intregant Analysis Based Liver Disease Prediction using Machine Learning -- Chapter 7. Classification of Indian Classical Dance 3D Point Cloud Data using Geometric Deep Learning -- Chapter 8. Fire Detection by Parallel Classification of Fire and Smoke using Convolutional Neural Network -- Chapter 9. Iris Image Denoising in Spatial Domain: An Implementation based on Modified Median Filtering Approach -- Chapter 10. A Split Key Unique Sudoku Steganography (SKUSS) Based Reversible High Embedded Data Hiding Technique -- Chapter 11. Identification of Insomnia based on Discrete Wavelet Transform using Time domain and Non-Linear features -- Chapter 12. Transfer Learning Techniques for Skin Cancer Classification -- Chapter 13. Particle Swarm Optimization Based on Random Walk -- Chapter 14. Signal processing Algorithms based on Evolutionary Optimization Techniques in the BCI: A Review -- Chapter 15. Cancelation of 50Hz and 60Hz Power-line Interference from Electrocardiogram using Square-root Cubature Kalman Filter.
520	3		_aThis book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the 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. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.
988			_aSpringer_Robotics_2021
650		7	_2embne _9159793 _aVisión por ordenador
700			_aSmys, S _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681541
700	1		_aTavares, João Manuel R. S. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9680679
700	1		_aBešťák, Robert, _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682622 _d1974-
700	1		_aShi, Fuqian _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682623
776	0	8	_iPrinted edition: _z9789813368613
776	0	8	_iPrinted edition: _z9789813368637
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6862-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE