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Titlebook: Neural Approaches to Dynamics of Signal Exchanges; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2020 Springer Nature Singapore Pte

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发表于 2025-3-21 18:49:29 | 显示全部楼层 |阅读模式
书目名称Neural Approaches to Dynamics of Signal Exchanges
编辑Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero
视频videohttp://file.papertrans.cn/664/663530/663530.mp4
概述Contributes to the development of intelligent interactive dialog systems that simplify everyday life.Covers a wide range of applications from medical diagnosis to entertainment devices.Describes resea
丛书名称Smart Innovation, Systems and Technologies
图书封面Titlebook: Neural Approaches to Dynamics of Signal Exchanges;  Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2020 Springer Nature Singapore Pte
描述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 solvin
出版日期Book 2020
关键词Social Science Scholarship; Machine Learning Methods; User Modelling; Neural Networks; Artificial Intell
版次1
doihttps://doi.org/10.1007/978-981-13-8950-4
isbn_softcover978-981-13-8952-8
isbn_ebook978-981-13-8950-4Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightSpringer Nature Singapore Pte Ltd. 2020
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Dimension Reduction Techniques in a Brain–Computer Interface Applicationmparing four different dimension reduction techniques in combination with linear and nonlinear classifiers, we show that integrating these methods in a BCI system results in a reduced model complexity without affecting overall accuracy.
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2190-3018 m medical diagnosis to entertainment devices.Describes reseaThe 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 arti
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