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Neural approaches to dynamics of sig...

Esposito, Anna.

Neural approaches to dynamics of signal exchanges

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural approaches to dynamics of signal exchangesedited by Anna Esposito ... [et al.].
other author:	Esposito, Anna.
Published:	Singapore :Springer Singapore :2020.
Description:	xxviii, 525 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-981-13-8950-4
ISBN:	9789811389504$q(electronic bk.)

Neural approaches to dynamics of signal exchanges
Neural approaches to dynamics of signal exchanges[electronic resource] /edited by Anna Esposito ... [et al.]. - Singapore :Springer Singapore :2020. - xxviii, 525 p. :ill. (some col.), digital ;24 cm. - Smart innovation, systems and technologies,v.1512190-3018 ;. - Smart innovation, systems and technologies ;v.12..

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.

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.

ISBN: 9789811389504$q(electronic bk.)

Standard No.: 10.1007/978-981-13-8950-4doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Neural approaches to dynamics of signal exchanges
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505 0 $a 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.
520 $a 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.
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950 $a Intelligent Technologies and Robotics (Springer-42732)