Computational vision and bio-inspire...
ICCVBIC (Conference) ((2020 :)

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  • Computational vision and bio-inspired computing = ICCVBIC 2020 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computational vision and bio-inspired computing/ edited by S. Smys ... [et al.].
    其他題名: ICCVBIC 2020 /
    其他作者: Smys, S.
    團體作者: ICCVBIC (Conference)
    出版者: Singapore :Springer Singapore : : 2021.,
    面頁冊數: xx, 871 p. :ill., digital ;24 cm.
    內容註: Chapter 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.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-33-6862-0
    ISBN: 9789813368620
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