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Progresses in Artificial Intelligence and Neural Systems by Anna Esposito (Engli

US $218.49
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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9789811550959
Book Title
Progresses in Artificial Intelligence and Neural Systems
ISBN
9789811550959
Subject Area
Mathematics, Computers, Technology & Engineering
Publication Name
Progresses in Artificial Intelligence and Neural Systems
Publisher
Springer
Item Length
9.3 in
Subject
Engineering (General), Intelligence (Ai) & Semantics, Applied
Publication Year
2021
Series
Smart Innovation, Systems and Technologies Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Marcos Faundez-Zanuy
Item Weight
33.7 Oz
Item Width
6.1 in
Number of Pages
Xviii, 613 Pages

About this product

Product Identifiers

Publisher
Springer
ISBN-10
9811550956
ISBN-13
9789811550959
eBay Product ID (ePID)
22050417060

Product Key Features

Number of Pages
Xviii, 613 Pages
Language
English
Publication Name
Progresses in Artificial Intelligence and Neural Systems
Publication Year
2021
Subject
Engineering (General), Intelligence (Ai) & Semantics, Applied
Type
Textbook
Author
Marcos Faundez-Zanuy
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Smart Innovation, Systems and Technologies Ser.
Format
Trade Paperback

Dimensions

Item Weight
33.7 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Series Volume Number
184
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3
Table Of Content
Part I: Introduction.- Towards Socially and Emotionally Believable ICT Interfaces.- Part II: Neural Networks and Related Applications.- The Simplification Conspiracy.- Passengers' Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles.- Road Type Classification using Acoustic Signals: Deep Learning Models and Real-Time Implementation.- Emotional Content Comparison in Speech Signal Using Feature Embedding.
Synopsis
This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human-machine interaction. At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans' interactions to make computers interfacing with them emotionally and socially credible. The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.
LC Classification Number
Q342

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