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Hybrid Intelligent Systems 20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020
Title
Hybrid Intelligent Systems [electronic resource] : 20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020 / edited by Ajith Abraham, Thomas Hanne, Oscar Castillo, Niketa Gandhi, Tatiane Nogueira Rios, Tzung-Pei Hong.
ISBN
9783030730505
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (XVII, 817 p.) 340 illus., 242 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 58 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2020) and 20 papers from the 12th World Congress on Nature and Biologically Inspired Computing (NaBIC 2020), which was held online, from December 14 to 16, 2020. A premier conference in the field of artificial intelligence, HIS - NaBIC 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of science and engineering.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
May 05, 2021
Series
Advances in Intelligent Systems and Computing, 1375
Contents
Vertical Interior Distance Ratio to Minimum Bounding Rectangle of a Shape
Auto-encoder Based Wavelet and Extreme Learning Machine for Face Recognition
Sparse Wavelet Auto-Encoder for Covid-19 Cases Identification
Design Guide Prediction Model for the legal Interactions (GPM-LI)
Accent and Gender Recognition from English Language Speech and Audio Using Signal Processing and Deep Learning
Deep Convolutional Neural Network Based on Wave-let Transform for Super Image Resolution
Building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmental Data
Design and Development of Intelligent Pesticide Spraying System for Agricultural Robot
Characterizing Antennas' Radiation Pattern Using Bernoulli Lemniscates
Analysis of Metaheuristics Feature Selection Algorithm for Classification
Change Detection in Satellite Imagery: a Multi-label Approach Using Convolutional Neural Network
An Effective Heart Disease Prediction Model Based on Machine Learning Techniques.
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