Abraham / Panda / Pradhan 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
1. Auflage 2020
ISBN: 978-3-030-49339-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 382 Seiten

Reihe: Intelligent Technologies and Robotics (R0)

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. 

Zielgruppe

Research

Autoren/Hrsg.

Abraham, Ajith

Panda, Mrutyunjaya

Pradhan, Subhrajit

Garcia-Hernandez, Laura

Ma, Kun

Inhaltsverzeichnis

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 Classi?cation: 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 classi?er with ?ower search optimization algorithm for e?cient detection of BHP ?ooding attacks in Optical Burst Switching Network.