Cutting Edge Applications of Computational Intelligence Tools and Techniques

• Autore: Daimi Kevin
• Pubblicazione: Cham : , : Springer, , 2024; ©2023
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (355 pages)
• Altri autori: AlsadoonAbeer CoelhoLuis
• Nota di contenuto: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- CI in Human-Machine Interaction -- Brain-Computer Interfaces: High-Tech Race to Merge Minds and Machines -- 1 Introduction -- 1.1 History of BCIs -- 2 Science of BCIs -- 3 Technology of BCIs -- 4 Ethics of BCIs -- 5 Application of BCIs -- 6 Discussion -- 7 Conclusion -- References -- Using Artificial Neural Networks to Predict Critical Displacement and Stress Values in the Proximal Femur for Distinct Geometries and Load Cases -- 1 Introduction -- 2 Materials and Methods -- 2.1 Neural Networks -- 2.2 Problem Summary -- 2.3 Data Gathering -- 2.4 Neural Network Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- An Integrated Model for Automated Identification and Learning of Conversational Gestures in Human-Robot Interaction -- 1 Introduction -- 2 Background and Fundamentals -- 2.1 Gesture -- 2.2 Petri Net -- 2.3 Synchronization in Gesture Motions and Speech -- 2.4 Models for Deep Learning -- 2.5 Conceptual Dependency Analysis -- 3 Conversational Gestures Classifications -- 3.1 Discourse Based Gesture Classification by Cognitive Psychologists -- 3.2 Extending Deictic Gestures Subclassification -- 3.3 Extending Iconic Gestures Subclassification -- 3.4 Extending Conversational Classification for Integrated Computational Analysis -- 4 Gesture Recognition Approaches -- 4.1 Data Collection and Analysis -- 4.2 Machine and Deep Learning Based Gesture Classification -- 4.3 Automated Learning by Mimicking -- 5 Synchronous Colored Petri Net (SCPN) Model -- 5.1 Modeling Composite Synchronized Motions -- 5.2 Signature of a Gesture -- 6 Conversational Gesture Recognition Using SCPN -- 6.1 Recognizing Conversational Head-Gestures -- 6.2 Recognizing Deictic Gestures -- 6.3 Recognizing Iconic Gestures-Contour Segment Pattern (CSP) Analysis. ; 6.4 Ambiguity Resolution Using Decision Trees -- 7 Limitations and Future Work -- 8 Conclusion -- References -- Computational Intelligence Methods for User Matching -- 1 Introduction -- 2 Efficiency and Effectiveness of User Matching -- 2.1 Efficiency -- 2.2 Effectiveness -- 3 The Process of User Matching -- 3.1 Pre-filtering -- 3.2 User's Similarity with Spatiotemporal Awareness -- 3.3 User Matching -- 4 Other Models for User Matching -- 4.1 Based on Username and Display Name -- 4.2 Based on User Friendship -- 4.3 Based on User Generated Content -- 5 Challenges and Future of User Matching -- 6 Conclusion -- References -- CI in Robotics and Automation -- ATIAS: A Model for Understanding Intentions to Use AI Technology -- 1 Introduction -- 2 Background and Theoretical Foundation -- 2.1 Trust and Its Components -- 2.2 Trust in Human-Machine Interaction (HMI) -- 2.3 Technology Acceptance Model -- 2.4 ATIAS Components -- 3 Research Method -- 3.1 Research Design -- 3.2 Research Questions and Hypotheses -- 3.3 Measurement Development -- 4 Findings -- 5 Discussion -- 5.1 Interpretation of the Findings and Research Question -- 5.2 Limitations and Next Steps -- Appendix -- Definition of Key Terms -- References -- Electronics Engineering Perspectives on Computer Vision Applications: An Overview of Techniques, Sub-areas, Advancements and Future Challenges -- 1 Introduction -- 1.1 History (Key Events) -- 1.2 Computer Vision Main Tasks -- 2 Key Techniques and Algorithms in Computer Vision -- 2.1 Key Techniques -- 2.2 Key Algorithms -- 3 Main Sub-areas of Computer Vision -- 3.1 Image Classification -- 3.2 Object Detection -- 3.3 Image Semantic Segmentation -- 4 Application Scenarios -- 4.1 Autonomous Driving -- 4.2 Medical Diagnosis -- 4.3 UAV Monitoring -- 4.4 Face Recognition -- 5 Future Trends and Challenges -- 6 Conclusions -- References. ; CI in Manufacturing, Engineering, and Industry -- Feature Importance Study for Biogas Production from POME Treatment Plants Using Out-of-Bag Permutation -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 4 Conclusions -- References -- Convolutional Neural Networks for Part Orientation in Additive Manufacturing -- 1 Introduction -- 2 State of the Art of Related Works -- 2.1 Part Orientation -- 2.2 Convolutional Neural Network -- 3 The Method -- 3.1 Regression Task -- 4 The Datasets -- 5 Results -- 5.1 Regression Task -- 5.2 Classification Task -- 5.3 Analysis of the Results -- 6 Conclusions -- References -- CI in Recognition and Processing -- SINATRA: A Music Genre Classifier Based on Clustering and Graph Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Genre Classification Based on Song's Audio Signals -- 2.2 Genre Classification Based on Song's Metadata -- 3 Description of the SINATRA Framework -- 3.1 Training of the Classifier -- 3.2 Production Stage -- 4 Evaluation of SINATRA -- 4.1 Dataset Description -- 4.2 Exploratory Analysis -- 4.3 Generation of the Core Genres -- 4.4 Generation of the CG-KNN Instance -- 4.5 Evaluation Metric -- 4.6 Evaluation Parameters -- 4.7 Result Discussion -- 4.8 Classification Examples -- 5 Conclusion and Future Work -- References -- Towards an Enhanced and Lightweight Face Authentication System -- 1 Introduction -- 2 Method 1: A Dual-Task Relation Regulated Unified System -- 2.1 Background -- 2.2 Formulation of the Relationship Between Two-Tasks -- 2.3 Design of Loss and Training Strategy -- 2.4 Experiments and Discussion -- 3 Method 2: A Multi-teacher Assisted Multi-task Learning Framework -- 3.1 Experiments and Discussion -- 4 Conclusion -- References -- CI in Finance, Business, Economics and Education. ; Conceptual Intelligence, Digital Transformation, and Leadership Skills: Key Concepts for Modern Business Success -- 1 Introduction -- 1.1 Digital Transformation -- 1.2 Conceptual Intelligence -- 1.3 Leadership Skills for Digital Transformation -- 2 Digital Transformation -- 2.1 Improved Operational Efficiency -- 2.2 Enhanced Customer Experience -- 2.3 Increased Revenue -- 2.4 New Growth Opportunities -- 3 Leadership Skills -- 3.1 Visionary Leadership -- 3.2 Change Management -- 3.3 Digital Literacy -- 3.4 Data-Driven Decision-Making -- 3.5 Collaborative Leadership -- 3.6 Agility and Innovation -- 4 Advantages and Possibilities for Leaders with Excellent Digital Literacy -- 5 Leaders -- Then Versus Now -- 6 Digital Leaders with Academic Excellence Versus, Digital Leaders with Digital Hands-on Experience -- 6.1 Digital Leaders with Academic Excellence -- 6.2 Digital Leaders with Hands-on Digital Skills -- 6.3 Comparing Digital Leaders with Academic Excellence and Hands-on Digital Skills -- 7 Conclusion -- References -- GEMM-SaFIN(FRIE)++: Explainable Artificial Intelligence Visualisation System with Episodic Memory -- 1 Introduction -- 2 Architecture of GEMM-SaFIN(FRIE)++ -- 2.1 Overall Architecture -- 2.2 Self-Learning Rule Generation -- 2.3 Computation of Rule Activation -- 2.4 Rules Obsoletion -- 2.5 GEMM Mechanism -- 3 Explainable AI Visualization System for GEMM-SaFIN(FRIE)++ -- 3.1 Development Process -- 3.2 GUI of Explainable AI Visualization System -- 3.3 Features of Interpolation/Extrapolation -- 3.4 Merging of Membership Functions -- 3.5 Deletion of Rules -- 3.6 Neuro-fuzzy Network in Explainable AI Visualization System -- 3.7 Animating Activation of Rules in Explainable AI Visualization System -- 4 Experimental Analysis and Benchmarking -- 4.1 Experiments by Nakanishi Dataset -- 4.2 Event Detection of Stock Market Crisis. ; 5 Conclusions and Future Work -- References -- CI in Vehicles, Smart Cities/Energy, and Networking -- Traffic Sign Recognition Robustness in Autonomous Vehicles Under Physical Adversarial Attacks -- 1 Introduction -- 2 Traffic Signs Recognition in Autonomous Vehicles -- 3 Adversarial Attacks in Computer Vision -- 4 Towards Attacking Traffic Signs Recognition Systems -- 5 Experimental Study -- 6 Discussion -- 7 Conclusion -- References -- Computational Intelligence in Smart Cities and Smart Energy Systems -- 1 Introduction -- 2 Margin Setting Algorithm -- 3 Smart Cities Application: Human Activity Recognition -- 4 Smart Energy Systems Application: False Data Injection Detection -- 5 Conclusion -- References -- Ontology-Based Similarity Estimates for Fuzzy Data: Semantic Wiki Approach -- 1 Introduction -- 2 Classification of Non-classical Data Types -- 3 Problem Definition -- 4 Taxonomy of NCD -- 5 Methods of NCD Processing -- 6 Semantic Similarity Estimations of Data -- 7 Dirty Data and Semantic Wikis -- 8 Conclusion -- References.
• Titolo autorizzato: Cutting Edge Applications of Computational Intelligence Tools and Techniques
• ISBN: 3-031-44127-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910768174503321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence Series