Abraham / Hanne / Castillo Hybrid Intelligent Systems

20th International Conference on Hybrid Intelligent Systems (HIS 2020), December 14-16, 2020
1. Auflage 2021
ISBN: 978-3-030-73050-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, Band 1375, 817 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Abraham, Ajith

Hanne, Thomas

Castillo, Oscar

Gandhi, Niketa

Nogueira Rios, Tatiane

Hong, Tzung-Pei

Inhaltsverzeichnis

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.