Innovations in bio-inspired computing and applications : proceedings of the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019) ; Gunupur, Odisha, India ; December 16-18, 2019 / editors, Ajith Abraham [et al.]

Format
Book
Language
English
Εdition
1st edition 2021.
Published/​Created
Cham : Springer International Publishing : Imprint: Springer, 2021.
Description
1 online resource (398 pages)

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Summary note
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. .
Bibliographic references
Includes author index.
Contents
  • 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 flower search optimization algorithm for efficient detection of BHP flooding attacks in Optical Burst Switching Network.
ISBN
3-030-49339-3
Doi
  • 10.1007/978-3-030-49339-4
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