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

by Ajith Abraham (Editor), Mrutyunjaya Panda (Editor), Subhrajit Pradhan (Editor), Laura Garcia-Hernandez (Editor), Kun Ma (Editor)

Overview

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.

Product Details

ISBN-13:	9783030493387
Publisher:	Springer International Publishing
Publication date:	08/06/2020
Series:	Advances in Intelligent Systems and Computing , #1180
Edition description:	1st ed. 2021
Pages:	382
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of 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.