Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016
Published on 20. October 2016
XXVII, 913 pages
978-3-319-48308-5 (ISBN)
Description
This book gathers the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI2016), which took place in Cairo, Egypt during October 24-26, 2016. This international interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE) and sponsored by the IEEE Computational Intelligence Society (Egypt chapter) and the IEEE Robotics and Automation Society (Egypt Chapter). The book's content is divided into four main sections: Intelligent Language Processing, Intelligent Systems, Intelligent Robotics Systems, and Informatics.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XXVII, 913 p. 326 illus.
File size
103,99 MB
ISBN-13
978-3-319-48308-5 (9783319483085)
DOI
10.1007/978-3-319-48308-5
Schweitzer Classification
Other editions
Additional editions
Aboul Ella Hassanien | Khaled Shaalan | Tarek Gaber
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016
Book
10/2016
Springer
€213.99
Shipment within 10-15 days
Content
Further Investigations for Documents Information Retrieval Based on Discrete Wavelet Transform .- Knowledge Representation in Intelligent Tutoring System.- A new method for interoperability between lexical resources using MDA approach.- Optimizing Fuzzy Inference Systems for Improving Speech Emotion Recognition.- Arabic fine-grained opinion categorization using discriminative machine learning technique.- A Spell Correction Model for OCR Errors for Arabic Text.- Natural Language Processing for Arabic Metaphors: A Conceptual Approach.- Using Text Mining To Analyze Real Estate Classi?eds.
