LEADER 01874nam a2200397 i 4500001 99129136325006421 005 20230114023738.0 006 m o d | 007 cr cnu|||||||| 008 230114s2023 sz ob 001 0 eng d 020 3-031-14859-2 035 (MiAaPQ)EBC7078106 035 (Au-PeEL)EBL7078106 035 (CKB)24748091800041 035 (PPN)264193024 035 (EXLCZ)9924748091800041 040 MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ 050 4 Q335 |b.N49 2023 082 0 006.3 |223 245 00 New trends in disruptive technologies, tech ethics and artificial intelligence : |bthe DITTET 2022 collection / |cDaniel de la Iglesia, Juan F. de Paz Santana, Alfonso J. López-Rivero, editors. 264 1 Cham, Switzerland : |bSpringer, |c[2023] 264 4 |c©2023 300 1 online resource (375 pages) 336 text |btxt |2rdacontent 337 computer |bc |2rdamedia 338 online resource |bcr |2rdacarrier 490 1 Advances in intelligent systems and computing ; |vVolume 1430 505 0 Intro -- Preface -- Organization -- Program Committee -- Scientific Committee -- Organizing Committee -- DITTET 2021 Organizers -- DITTET 2021 Collaborates -- Contents -- Track on Artificial Intelligence -- Deep Learning Based Approaches for Vehicle Make and Model Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Deep Learning Approaches -- 4.1 Convolutional Neural Network -- 4.2 ResNeXt-50 -- 4.3 Support Vector Machine with VGG-16 -- 5 Experimental Setup -- 6 Results and Discussions -- 7 Conclusion -- References -- Comparing Machine Learning vs. Humans for Dietary Assessment -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Bag-of-Words Architecture -- 3.2 Deep Learning Architecture(s) -- 3.3 Baseline Survey -- 4 Comparison Study -- 4.1 Additional Results, CNN (16 Classes) vs. HVS -- 4.2 More (20) Epochs Impact on CNN Accuracy -- 4.3 Human, Resnet, Inception and Bag-of-Words -- 5 Conclusions -- References -- Drawing Music: Using Neural Networks to Compose Descriptive Music from Illustrations -- 1 Introduction -- 2 Related Work -- 2.1 Feature Extraction from Multimedia Files -- 2.2 Relationship Between Multimedia Features -- 2.3 Musical Composition -- 3 Composing Music Based on User's Drawings -- 3.1 Extracting Image Features -- 3.2 Obtaining Chords from an Audio File -- 3.3 Relating Visual and Musical Descriptors -- 3.4 Composing Music -- 4 Results and Discussion -- 4.1 Performance of the Classifiers -- 4.2 Quality of the Musical Composition -- 4.3 Interconnection Between Image and Music -- 5 Conclusions -- References -- A Method to Identify Graphs Containing a Specific Sub-graph -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experiment -- 4.1 With Room Light Only -- 4.2 With Sunlight -- 4.3 With Shadows Caused by Light -- 5 Conclusion -- References. 505 8 An Advertising Real-Time Intelligent and Scalable Framework for Profiling Customers' Emotions -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Architecture -- 3.2 Implementation -- 4 Experimental Work -- 5 Conclusions -- References -- An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces -- 1 Introduction -- 2 Proposed Framework -- 3 Implementation -- 4 Results and Discussions -- 5 Conclusions -- References -- Exploring Feature Extraction to Vulnerability Prediction Problem -- 1 Introduction -- 2 Background -- 2.1 Vulnerability Prediction Models - VPM -- 2.2 The Cold Start Problem -- 2.3 Instance Violation Feature Extraction -- 2.4 Related Work -- 3 Empirically Evaluation -- 3.1 Experiment Design -- 3.2 Metrics -- 3.3 Experiments -- 3.4 Experimental Results -- 4 Conclusions -- References -- A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model -- 1 Introduction -- 2 Background -- 2.1 Natural Language Processing -- 2.2 Sentiment Analysis -- 3 Proposed System -- 3.1 Dataset Translation -- 3.2 Model Fine-Tuning -- 4 Case Study -- 4.1 Dataset -- 4.2 NLP Models -- 4.3 Metrics -- 5 Results -- 6 Conclusions -- References -- European Union Fosters Ethical AI in the Public Administration -- 1 Introduction -- 2 The EU Driving Force on Ethical AI in Public Administration -- 3 National Strategies for the Implementation of AI -- 4 Discrimination -- 5 Framing the Ethics of the Use of AI in the Public Sector -- 6 Explainability -- 7 Conclusions -- References -- Auto-Tagger of Contextual Activity Tags for Music Tracks -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Multi-label Classification Approaches -- 3.2 Dataset -- 4 Results -- 5 Conclusions and Future Works -- References -- Object Detection Through Computer Vision -- 1 Introduction -- 2 The Methodology -- 3 Case Study. 505 8 4 Results -- 5 The Conclusions and the Future Work -- References -- Bias Analysis on Twitter -- 1 Introduction -- 2 Related Works -- 3 The Bias Analysis System -- 3.1 Model Parameters -- 3.2 Building of Training Corpus -- 3.3 Model Generation -- 4 Case Study and Results -- 5 Conclusions and Future Extensions -- References -- Towards the Detection of Hateful Sentiment in Social Networks -- 1 Conceptual Foundations of the Automatic Processing of Discourse in Social Networks -- 2 Opinion Mining -- 3 Natural Language Processing -- 4 Feature Extraction -- 5 Evaluation Criteria -- 6 Methodology and Experimentation -- 7 Results -- 8 Conclusions and Further Work -- References -- MusicFactory: Application of a Convolutional Neural Network for the Generation of Soundscapes from Images -- 1 Introduction -- 2 Background -- 2.1 Images Recognition -- 2.2 Soundscapes Generation -- 3 Proposed System -- 3.1 Image Recognition Module -- 3.2 Creating Soundscapes -- 3.3 User Interface -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Track on Technological Ethics -- Papal Teaching on the Ethical Challenges of Artificial Intelligence -- 1 Introduction -- 2 An Ethical Preliminary - Recognizing Bias -- 3 Which Ethical Framework Are We Using? -- 4 Conclusion -- References -- The Role of the Right to Explanation and Its Safeguards in the Realization of Trustworthy AI -- 1 Introduction, Background, Scope, and Definition -- 2 Right to Explanation in the European Union -- 3 Safeguards Around Right to Explanation -- 3.1 The Right to Obtain Information About Automated Decisions -- 3.2 The Right to Contest/Challenge the Automated Decision -- 3.3 The Right to Express One's Point of View -- 3.4 The Right to Obtain Human Intervention -- 3.5 The Right to Obtain an Explanation of the Decision After Assessment. 505 8 4 Ethical Principles on Explainability and Right to Explanation -- 5 The Effect of Right to Explanation on Trustworthy AI -- 6 Conclusion -- References -- A Tool to Help Learning Programming -- 1 Introduction -- 2 Motivation -- 3 Tool for the Students -- 4 Conclusions -- References -- Track on Disruptive Technologies -- A Cost-Effective Framework for Monitoring Disaster Recovery Infrastructures -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Experimental Work -- 5 Results and Discussion -- 6 Conclusion -- References -- Validating an Evaluation Tool to Assess Older People's Acceptance Towards a Humanoid Robot Companion: A University of the Third Age Pilot Study -- 1 Introduction -- 2 Elder Users' Acceptance of Social Robots and Evaluation Tools -- 3 Validation of the Acceptance Evaluation Tool -- 3.1 Participants -- 3.2 Materials and Procedure -- 3.3 Results -- 4 Discussion -- 5 Conclusions -- References -- Semantic Web and Others as Disruptive Technologies at the Service of University Transparency. A Use Case -- 1 Introduction -- 1.1 Use of CRIS Systems at University -- 1.2 Use of CERIF Ontology -- 1.3 CRIS and Institutional Repositories at University -- 2 Methodology -- 2.1 Data Models -- 3 Results -- 3.1 Data retrieval and Integration System -- 3.2 Data Visualization, Querying and Downloading System -- 4 Conclusions -- References -- CoCoBot, A Low Cost Humanoid Robot Companion for Elderly People -- 1 Introduction -- 2 Architecture -- 2.1 Physical Layer -- 2.2 Reactive Layer -- 2.3 Deliberative Layer -- 2.4 Control Layer -- 3 Conclusion -- References -- Influence of Air Temperature and Relative Humidity on the Electrical Behaviour of Smart Textiles -- 1 Introduction -- 2 Electrical Behaviour of Materials -- 3 Electrical Measurement of Lamellar Textiles -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References. 505 8 Population-Based Methods to Reduce the Colors of an Image -- 1 Introduction -- 2 Ant-Based Solutions -- 3 PSO-Based Solutions -- 4 ABC-Based Solutions -- 5 Firefly-Based Solutions -- 6 Frogs-Based Solutions -- 7 Mixed Methods -- 8 Comparison of Results -- References -- Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments -- 1 Introduction -- 2 Background -- 2.1 Deep Learning Techniques -- 2.2 Datasets in the Context of Vehicle Detection -- 3 Materials and Proposed Model -- 4 Results -- 4.1 Metrics -- 4.2 Evaluation Method -- 4.3 Model Evaluation Results -- 5 Conclusions and Future Work -- References -- Track on Doctoral Consortium -- Multi-Agent System Design-Based Smart Device for Aquatic-Accidents Alerting and Avoidance -- 1 Introduction -- 2 Background -- 2.1 Machine Vision Systems -- 2.2 Sensor Systems -- 3 Proposed System -- 3.1 Sensorization System -- 3.2 Multi-Agent System -- 4 Results and Conclusions -- References -- A Scalable Smart Lighting Framework to Save Energy -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Experimental Work -- 5 Discussion -- 6 Conclusions and Future Work -- References -- A Scalable Framework to Predict Bitcoin Price Using Support Vector Machine -- 1 Introduction -- 2 Related Work -- 3 Framework -- 4 Experimental Work -- 5 Results and Analysis -- 6 Conclusions -- References -- CDonVR: E-learning of a Cash Dispenser on Virtual Reality -- 1 Introduction -- 2 Background -- 3 Proposed System -- 4 Results -- 5 Conclusions and Future Works -- References -- Competencies: An Exploratory Analysis of Performance Evaluations Results -- 1 Introduction -- 2 Background -- 3 Proposed Methodology -- 4 Developing Experiments and Analyzing Results -- 5 Conclusion and Future Works -- References -- Application of Educational Support Through Disruptive Technology in Deaf Student Learning. 505 8 1 Introduction and Background. 588 Description based on print version record. 504 Includes bibliographical references and index. 650 0 Artificial intelligence. 650 0 Computational intelligence. 776 08 |iPrint version:de la Iglesia, Daniel H. |tNew Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence |dCham : Springer International Publishing AG,c2022 |z9783031148583 700 1 de la Iglesia, Daniel H., |eeditor. 700 1 Paz Santana, Juan F. de, |eeditor. 700 1 López Rivero, Alfonso J., |eeditor. 830 0 Advances in intelligent systems and computing ; |vVolume 1430. 906 BOOK