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{ "item_title" : "Computational Vision and Bio-Inspired Computing", "item_author" : [" S. Smys", "João Manuel R. S. Tavares", "Robert Bestak "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/336/861/9813368616_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computational Vision and Bio-Inspired Computing|S. Smys

Computational Vision and Bio-Inspired Computing : Iccvbic 2020

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Overview

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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Details

  • ISBN-13: 9789813368613
  • ISBN-10: 9813368616
  • Publisher: Springer
  • Publish Date: June 2021
  • Dimensions: 9.21 x 6.14 x 1.76 inches
  • Shipping Weight: 2.7 pounds
  • Page Count: 871

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