Innovations in Bio-Inspired Computing and Applications
Proceedings of the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019) held in Gunupur, Odisha, India during December 16-18, 2019
(Sprache: Englisch)
This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 38 high-quality papers from the 10th International Conference on Innovations in Bio-Inspired...
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Klappentext zu „Innovations in Bio-Inspired Computing and Applications “
This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 38 high-quality papers from the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019) and 9th World Congress on Information and Communication Technologies (WICT 2019), which was held at GIET University, Gunupur, India, on December 16-18, 2019. As a premier conference, IBICA-WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 18 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Inhaltsverzeichnis zu „Innovations in Bio-Inspired Computing and Applications “
Towards the speed enhancement of Association rule mining algorithm for Intrusion Detection System.- Image Retrieval using Bat Optimization and Image Entropy.- Logistic Regression on Hadoop using PySpark.- Analysis of Pre-processing Techniques for Odia Character Recognition.- Cluster-based Under-Sampling using Farthest Neighbour Technique for Imbalanced Datasets.- Vehicle Detection and Classification: A Review.- Methods for Automatic Gait Recognition: A review.- Comparative Performance Exploration and prediction of Fibrosis, Malign Lymph, Metastases, Normal Lymphogram using Machine Learning Method.- Decision Forest classifier with ower search optimization algorithm for e cient detection of BHP ooding attacks in Optical Burst Switching Network.
Bibliographische Angaben
- 2020, 1st ed. 2021, XVI, 382 Seiten, 150 farbige Abbildungen, Maße: 16,6 x 23,7 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ajith Abraham, Mrutyunjaya Panda, Subhrajit Pradhan, Laura Garcia-Hernandez, Kun Ma
- Verlag: Springer, Berlin
- ISBN-10: 3030493385
- ISBN-13: 9783030493387
Sprache:
Englisch
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