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Neural Approaches to Dynamics of Signal Exchanges by Anna Esposito (English) Har
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Specificaties
- Objectstaat
- ISBN-13
- 9789811389498
- Book Title
- Neural Approaches to Dynamics of Signal Exchanges
- ISBN
- 9789811389498
- Subject Area
- Mathematics, Computers, Technology & Engineering
- Publication Name
- Neural Approaches to Dynamics of Signal Exchanges
- Publisher
- Springer
- Item Length
- 9.3 in
- Subject
- Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics
- Publication Year
- 2019
- Series
- Smart Innovation, Systems and Technologies Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 35 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xxviii, 525 Pages
Over dit product
Product Identifiers
Publisher
Springer
ISBN-10
9811389497
ISBN-13
9789811389498
eBay Product ID (ePID)
20038435746
Product Key Features
Number of Pages
Xxviii, 525 Pages
Publication Name
Neural Approaches to Dynamics of Signal Exchanges
Language
English
Publication Year
2019
Subject
Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Smart Innovation, Systems and Technologies Ser.
Format
Hardcover
Dimensions
Item Weight
35 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Series Volume Number
151
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Some note on Artificial Intelligence.- Music Genre Classification Using Stacked Auto-Encoders.- Linear Artificial Forces for Human Dynamics in Complex Contexts.- Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection.- Italian Text Categorization With Lemmatization and Support Vector Machines.- SOM-Based Analysis of Volcanic Rocks: An Application to Somma-Vesuvius and Campi Flegrei Volcanoes.- Towards an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach.- An Effective Fuzzy Recommender System for Fund Raising Management.- Reconstruction, Optimisation and Quality Check of Microsoft Hololens-Acquired 3D Points Clouds.- The "Probabilistic Rand Index": A Look from Some Different Perspectives.
Synopsis
The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human-computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications., The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotionmodulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human-computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.
LC Classification Number
Q342
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