UID:
almahu_9948689568902882
Format:
XVII, 817 p. 340 illus., 242 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030730505
Series Statement:
Advances in Intelligent Systems and Computing, 1375
Content:
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.
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030730499
Additional Edition:
Printed edition: ISBN 9783030730512
Language:
English
DOI:
10.1007/978-3-030-73050-5
URL:
https://doi.org/10.1007/978-3-030-73050-5
