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Computational Vision and Bio-Inspired Computing : ICCVBIC 2020 - Fuqian Shi

Computational Vision and Bio-Inspired Computing

ICCVBIC 2020

By: Fuqian Shi (Editor), S. Smys (Editor), Robert Bestak (Editor), Joao Manuel R. S. Tavares (Editor)

Paperback | 15 June 2021

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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.

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