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Progresses in Artificial Intelligence and Neural Systems by Anna Esposito (Engli
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- 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
- Item Weight
- 33.7 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xviii, 613 Pages
關於產品
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
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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