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Hybrid Intelligent Systems : 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14–16, 2021 / edited by Ajith Abraham, Patrick Siarry, Vincenzo Piuri, Niketa Gandhi, Gabriella Casalino, Oscar Castillo, Patrick Hung.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2022 Available online

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Format:
Book
Contributor:
Abraham, Ajith, 1968- editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 420
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Physical Description:
1 online resource (683 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
This book highlights the recent research on hybrid intelligent systems and their various practical applications. It presents 45 selected papers from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and 16 papers from the 17th International Conference on Information Assurance and Security, which was held online, from December 14 to 16, 2021. A premier conference in the field of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Contents:
YOLOv5 Based Deep Convolutional Neural Networks for Vehicle Recognition in Smart University Campus
Analysis of Twitter User's Sentiment Against Covid-19 Vaccination Using the Lexicon Based Method
Dual Connectivity Handoff Analysis for ENDC C/U-plane Split NSA NR5G Networks
Blockchain Integrated Machine Learning For Training Autonomous Cars
Privacy Preservation Technique based on Sensitivity Levels for Multiple Numerical Sensitive Overlapped Attributes
Feature Ranking Based Carrot Disease Recognition Using MIFS Method
Designing Knowledge-Based Systems for COVID-19 Diagnosis.
Notes:
Includes index.
Other Format:
Print version: Abraham, Ajith Hybrid Intelligent Systems
ISBN:
3-030-96305-5

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