Neural approaches to dynamics of signal exchanges
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 Lemmatiz...
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| Weitere Verfasser: | , , , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2020
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| Schriftenreihe: | Smart innovation, systems and technology
151 |
| Schlagworte: | |
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Tag hinzufügen | Zusammenfassung: | 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 |
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| Beschreibung: | xxviii, 525 Seiten Diagramme, Illustrationen |
| ISBN: | 9789811389498 978-981-13-8949-8 |