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001437489 001__ 1437489
001437489 003__ OCoLC
001437489 005__ 20230309004151.0
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001437489 019__ $$a1257020191
001437489 020__ $$a9789813368620
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001437489 0247_ $$a10.1007/978-981-33-6862-0$$2doi
001437489 035__ $$aSP(OCoLC)1257078920
001437489 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001437489 049__ $$aISEA
001437489 050_4 $$aTA1634
001437489 08204 $$a006.3/7$$223
001437489 1112_ $$aICCVBIC (Conference)$$d(2020 :$$cCoimbatore, India)
001437489 24510 $$aComputational vision and bio-inspired computing :$$bICCVBIC 2020 /$$cS. Smys, João Manuel R. S. Tavares. Robert Bestak, Fuqian Shi, editors.
001437489 2463_ $$aICCVBIC 2020
001437489 260__ $$aSingapore :$$bSpringer,$$c2021.
001437489 300__ $$a1 online resource (857 pages)
001437489 336__ $$atext$$btxt$$2rdacontent
001437489 337__ $$acomputer$$bc$$2rdamedia
001437489 338__ $$aonline resource$$bcr$$2rdacarrier
001437489 4901_ $$aAdvances in intelligent systems and computing ;$$vv. 1318
001437489 500__ $$aIncludes author index.
001437489 5050_ $$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.
001437489 506__ $$aAccess limited to authorized users.
001437489 520__ $$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 humancomputer 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.
001437489 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 6, 2021).
001437489 650_0 $$aComputer vision$$vCongresses.
001437489 650_0 $$aNatural computation$$vCongresses.
001437489 650_6 $$aVision par ordinateur$$vCongrès.
001437489 650_6 $$aCalcul naturel$$vCongrès.
001437489 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001437489 655_7 $$aConference papers and proceedings.$$2lcgft
001437489 655_7 $$aActes de congrès.$$2rvmgf
001437489 655_0 $$aElectronic books.
001437489 7001_ $$aSmys, S.
001437489 7001_ $$aTavares, João Manuel R. S.
001437489 7001_ $$aBešťák, Robert,$$d1974-
001437489 7001_ $$aShi, Fuqian.
001437489 77608 $$iPrint version:$$aSmys, S.$$tComputational Vision and Bio-Inspired Computing.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813368613
001437489 830_0 $$aAdvances in intelligent systems and computing ;$$v1318.
001437489 852__ $$bebk
001437489 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6862-0$$zOnline Access$$91397441.1
001437489 909CO $$ooai:library.usi.edu:1437489$$pGLOBAL_SET
001437489 980__ $$aBIB
001437489 980__ $$aEBOOK
001437489 982__ $$aEbook
001437489 983__ $$aOnline
001437489 994__ $$a92$$bISE