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New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence

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Cover of 'New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Deep Learning Based Approaches for Vehicle Make and Model Recognition
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    Chapter 2 Comparing Machine Learning vs. Humans for Dietary Assessment
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    Chapter 3 Drawing Music: Using Neural Networks to Compose Descriptive Music from Illustrations
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    Chapter 4 A Method to Identify Graphs Containing a Specific Sub-graph
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    Chapter 5 An Advertising Real-Time Intelligent and Scalable Framework for Profiling Customers’ Emotions
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    Chapter 6 An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces
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    Chapter 7 Exploring Feature Extraction to Vulnerability Prediction Problem
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    Chapter 8 A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model
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    Chapter 9 European Union Fosters Ethical AI in the Public Administration
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    Chapter 10 Auto-Tagger of Contextual Activity Tags for Music Tracks
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    Chapter 11 Object Detection Through Computer Vision
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    Chapter 12 Bias Analysis on Twitter
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    Chapter 13 Towards the Detection of Hateful Sentiment in Social Networks
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    Chapter 14 MusicFactory: Application of a Convolutional Neural Network for the Generation of Soundscapes from Images
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    Chapter 15 Papal Teaching on the Ethical Challenges of Artificial Intelligence
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    Chapter 16 The Role of the Right to Explanation and Its Safeguards in the Realization of Trustworthy AI
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    Chapter 17 A Tool to Help Learning Programming
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    Chapter 18 A Cost-Effective Framework for Monitoring Disaster Recovery Infrastructures
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    Chapter 19 Validating an Evaluation Tool to Assess Older People’s Acceptance Towards a Humanoid Robot Companion: A University of the Third Age Pilot Study
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    Chapter 20 Semantic Web and Others as Disruptive Technologies at the Service of University Transparency. A Use Case
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    Chapter 21 CoCoBot, A Low Cost Humanoid Robot Companion for Elderly People
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    Chapter 22 Influence of Air Temperature and Relative Humidity on the Electrical Behaviour of Smart Textiles
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    Chapter 23 Population-Based Methods to Reduce the Colors of an Image
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    Chapter 24 Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments
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    Chapter 25 Multi-Agent System Design-Based Smart Device for Aquatic-Accidents Alerting and Avoidance
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    Chapter 26 A Scalable Smart Lighting Framework to Save Energy
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    Chapter 27 A Scalable Framework to Predict Bitcoin Price Using Support Vector Machine
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    Chapter 28 CDonVR: E-learning of a Cash Dispenser on Virtual Reality
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    Chapter 29 Competencies: An Exploratory Analysis of Performance Evaluations Results
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    Chapter 30 Application of Educational Support Through Disruptive Technology in Deaf Student Learning
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    Chapter 31 Safely: Mobile Alert Application for Risk Situations
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    Chapter 32 4D-Trainer: A Platform for Balance Trainning
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    Chapter 33 Barbot: Design and Develop a High-Precision Robotic Platform for Improving Catering Industry Processes
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    Chapter 34 Development of a Robotic Platform with Order Management for the Catering Sector
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Title
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence
Published by
Springer International Publishing, August 2022
DOI 10.1007/978-3-031-14859-0
ISBNs
978-3-03-114858-3, 978-3-03-114859-0
Editors

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

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.