Computational Vision and Bio-Inspired Computing: ICCVBIC 2020

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.

• Format: Paperback
• Language: English
• ISBN: 9813368616
• ISBN13: 9789813368613
• Release Date: June 2021
• Publisher: Springer
• Length: 871 Pages
• Weight: 2.70 lbs.
• Dimensions: 1.8" x 6.1" x 9.2"