New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence The DITTET 2023 Collection
by
 
de la Iglesia, Daniel H. editor.

Title
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence The DITTET 2023 Collection

Author
de la Iglesia, Daniel H. editor.

ISBN
9783031383441

Edition
1st ed. 2023.

Physical Description
XVI, 362 p. 162 illus., 148 illus. in color. online resource.

Series
Advances in Intelligent Systems and Computing, 1452

Contents
Application of search algorithm in research of sEMG in swallowing disorders -- Predictive Maintenance of Mechanical systems using Data Analytics -- Development of web application firewall based on artificial intelligence -- Age Analysis with Convolutional Neural Networks -- Comparing Supervised and Unsupervised Machine Learning Techniques to Decision Support Systems in Healthcare -- Machine Learning for Automatic Weather Stations: A Case Study -- LIPTracker - People detection system based on their devices -- Smart electronic Nose: an empirical evaluation of new multi-channel gas sensors for smell classification -- Scalable and Energy-Efficient Deep Learning for Distributed AIoT Applications Using Modular Cognitive IoT Hardware -- An IoT-Based Framework for Monitoring Photovoltaic Batteries -- Spearmint: A Decentralized Solution for Recording Evidence of Cyberbullying -- Synonym-substitution algorithms for enrich the Agrovoc vocabulary -- Exploring OpenStack for Scalable and Cost-Effective Virtualization in Education -- Analysis of surface electromyography devices applied to swallowing disorders. A Systematic Review -- An IoT-enabled Framework for Efficient Water Management in Agriculture -- Integrating Weather and Orography Information in Trip Planning Systems for Heavy Goods Vehicles -- Is blockchain a disruptive innovation? A systematic literature review -- Exploring the Potential of Mixed Reality as a Support Tool for Industrial Training and Production Processes: A Case Study Utilizing Microsoft HoloLens -- Platform for tele-rehabilitation of balance disorder and motork skills -- A Framework to Optimize Waste Containers Collection Enabled by an ARIMA Model and IoT Data.

Subject Term
Computational intelligence.
 
Artificial intelligence.

Added Author
de la Iglesia, Daniel H.
 
de Paz Santana, Juan F.
 
López Rivero, Alfonso J.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-38344-1


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book528138-1001ONLINEElektronik Kütüphane