Overview
Provides fundamental insights for cross-fertilization: machine learning, artificial neural networks (ANNs) (algorithms and models), social and biometric data for applications in human-computer interactions, and neural networks-based approaches to industrial processes Identifies features from dynamic realistic signal exchanges and invariant machine representations to automatically identify, detect, analyze, and process them in related applicationsSimplifies automatic signal processing and its exploitation in realistic applications devoted to improving the quality of life of the end usersFeatures contributions from computer science, physics, psychology, statistics, mathematics, electrical engineering, and communication science
- | Author: Anna Esposito
- | Publisher: Springer
- | Publication Date: Sep 06, 2017
- | Number of Pages: 388 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 3319569031
- | ISBN-13: 9783319569031
