Advanced Neural Artificial Intelligent: Theories and Applications
Series: Smart Innovation, Systems and Technologies; 428;
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90 774 Ft (86 451 Ft + 5% VAT)
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90 774 Ft
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Product details:
- Publisher Springer
- Date of Publication 20 June 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819609932
- Binding Hardback
- No. of pages452 pages
- Size 235x155 mm
- Language English
- Illustrations 18 Illustrations, black & white; 100 Illustrations, color 700
Categories
Short description:
This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023). The book discusses novel technologies for unsupervised multimodal complex autonomous systems using new generation of AI algorithms. The book also reports on advanced acoustical, perceptual, and psychological analysis of verbal and non-verbal communication of signals originating in spontaneous face-to-face interaction, automatic procedures capable of recognizing human emotional states, and applications improving the performance of human?machine interaction for the deployment of socially and emotionally believable assistive technologies.
MoreLong description:
This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023). The book discusses novel technologies for unsupervised multimodal complex autonomous systems using new generation of AI algorithms. The book also reports on advanced acoustical, perceptual, and psychological analysis of verbal and non-verbal communication of signals originating in spontaneous face-to-face interaction, automatic procedures capable of recognizing human emotional states, and applications improving the performance of human?machine interaction for the deployment of socially and emotionally believable assistive technologies.
MoreTable of Contents:
A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features.- ECG Images Analysis for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome based on a Vision Transformer Model.- Enhancing ECG Analysis with a Hybrid Deep Learning Approach: Automatic Detection of Significant Features.- Virtual Mines ? Component-Level Recycling of Printed Circuit Boards using Deep Learning.- Comparison of LSTM-based models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation .- Forward Approximate Solution for Linear Quadratic Tracking .- Deep Echo State Network for Environmental Sound Classification.- A Fuzzy Logic Approach for Pandemic Risk Assessment and Restrictions Design.- Multi-Objective Multi-Layer Perceptron Architecture Optimization for Rapid Post-Earthquake Damage Evaluation.- Uncertainty Estimation Via Ensembles of Deep Learning Models and Dropout Layers for Seismic Traces.
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