Computational Vision and Bio-Inspired Computing
ICCVBIC 2020
(Sprache: Englisch)
This 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...
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Klappentext zu „Computational Vision and Bio-Inspired Computing “
This 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 human-computer 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.
Inhaltsverzeichnis zu „Computational Vision and Bio-Inspired Computing “
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.Autoren-Porträt
Dr. S. Smys received his M.E. and Ph.D. degrees all in Wireless Communication and Networking from Anna University and Karunya University, India. His main area of research activity is localization and routing architecture in wireless networks. He serves as Associate Editor of Computers and Electrical Engineering (C&EE) Journal, Elsevier, and Guest Editor of MONET Journal, Springer. He has served as a reviewer for IET, Springer, Inderscience and Elsevier journals. He has published many research articles in refereed journals and IEEE conferences. He has been General chair, Session Chair, TPC Chair and Panelist in several conferences. He is a member of IEEE and a senior member of IACSIT wireless research group. He has been serving as Organizing Chair and Program Chair of several international conferences, and in the Program Committees of several international conferences. Currently, he is working as Professor in the Department of CSE at RVS Technical Campus, Coimbatore, India.
Bibliographische Angaben
- 2021, 1st ed. 2021, XX, 871 Seiten, 355 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: S. Smys, João Manuel R. S. Tavares, Robert Bestak, Fuqian Shi
- Verlag: Springer, Berlin
- ISBN-10: 9813368616
- ISBN-13: 9789813368613
Sprache:
Englisch
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