Ambient Intelligence--Software and Applications--13th International Symposium on Ambient Intelligence / / Vicente Julián [and four others], editors

• Pubblicazione: Cham, Switzerland : , : Springer, , [2023]; ©2023
• Descrizione fisica: 1 online resource (274 pages)
• Disciplina: 004
• Soggetto topico: Ambient intelligence
• Persona (resp. second.): JulianVicente
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Organization -- Preface -- Contents -- Deep Learning Based Automated Chest X-ray Abnormalities Detection -- 1 Introduction -- 2 Related Works -- 3 Dataset Specifics -- 4 Approach -- 4.1 Exploratory Data Analysis -- 4.2 Data Pre-processing -- 4.3 Proposed CNN Architectures -- 4.4 2-Class Classifier Pipeline -- 5 Results -- 6 Conclusion -- References -- Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture -- 1 Introduction -- 2 Related Works -- 3 Design of the Architecture -- 3.1 Acquisition Devices -- 3.2 Microservices and Event-Driven-Based Architecture -- 3.3 Synchronisation Strategy -- 4 Results -- 5 Conclusions -- References -- Percutaneous Electrolysis (EPI®), a Promising Technology in the Treatment of Insertional Patellar Tendinopathy in Soccer Players -- 1 Introduction -- 2 Material and Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- Ability-Centered Examination of People with Motor Impairments' Interaction with Television Towards More Accessible Smart Home Entertainment Environments -- 1 Introduction -- 2 Related Work -- 3 Study -- 3.1 Participants -- 3.2 Motor Abilities -- 3.3 Measures -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Discovery of Profitable Stock Price Movement Patterns from Various High Utility Pattern Mining -- 1 Introduction -- 2 Past Works -- 3 Methodology -- 3.1 Definitions -- 3.2 The Focused High Utility Mining Methods -- 4 Experiments -- 4.1 Data and Pre-processing -- 4.2 Discussions -- 5 Conclusions -- References -- Automatic Detection of Oil Spills from SAR Images Using Deep Learning -- 1 Introduction -- 2 Dataset and Methods -- 2.1 Oil Spill Dataset Description -- 2.2 Semantic Segmentation -- 2.3 Evaluation Metrics -- 3 Results -- 4 Discussion -- 5 Conclusion -- References. ; Intelligent Appliances for AAL Environments -- 1 Introduction -- 1.1 VirtualECare and VirtualECare2 -- 2 Intelligent Appliances -- 2.1 Virtual Appliance -- 2.2 Physical Appliance Requirements -- 3 Conclusions and Future Work -- References -- Time Series Forecasting for Improving Quality of Life and Ecosystem Services in Smart Cities -- 1 Introduction -- 2 Related Works -- 3 Forecasting Methods for Climate Data -- 3.1 Description of the Dataset -- 3.2 Algorithms for Time Series Prediction -- 4 Experiment and Results -- 5 Conclusions and Future Work Lines -- References -- Security of IoT Application Layer: Requirements, Threats, and Solutions -- 1 Introduction -- 2 Background and Motivation -- 2.1 Motivation -- 3 Security Requirements in IoT Application Layer -- 3.1 Confidentiality -- 3.2 Integrity -- 3.3 Availability -- 3.4 Authentication and Authorization -- 4 Security Threats and Solutions in IoT Application Layer -- 4.1 Focus on IoT Use Cases -- 5 Open Issues and Future Directions -- 5.1 The Lack of Comprehensive Security- and/or Privacy-Protecting Frameworks -- 5.2 Insecure Interfaces -- 5.3 Blockchain -- 5.4 Machine Learning -- 6 Conclusion -- References -- Smart Wearable Systems for the Remote Monitoring of Venous and Diabetic Foot Ulcers: State of the Art -- 1 Introduction -- 2 Methods -- 2.1 Search Strategy -- 2.2 Eligibility Criteria -- 2.3 Analysis -- 3 Results -- 3.1 State-of-the Art -- 3.2 Data Collection -- 3.3 Smart Features -- 3.4 Open Research Challenges and Limitations -- 4 Conclusions -- References -- Electronic Plush Toy as a Non-pharmacological Tool in Therapies -- 1 Introduction -- 2 State of Art -- 3 Methodology -- 4 Design and Construction -- 4.1 HW Design -- 5 Conclusions and Future Work -- References -- Federated Learning with Exponentially Weighted Moving Average for Real-Time Emotion Classification -- 1 Introduction. ; 2 Preliminaries -- 2.1 Multi-modal Data Stream Classification -- 2.2 Federated Learning -- 2.3 Exponentially Weighted Moving Average -- 3 Materials and Methods -- 3.1 Proposed Approach -- 3.2 Dataset Description -- 3.3 Experimental Study -- 3.4 Experimental Setup -- 3.5 Performance Metric -- 4 Results, Analysis and Discussion -- 5 Conclusion -- References -- User-Adapted Semantic Description Generation Using Natural Language Models -- 1 Introduction -- 2 Natural Language Generation Model -- 2.1 Transformers in Generative Models -- 2.2 From Fine-Tuning to Few-Shot Learning -- 3 User-Adapted Semantic Description Generation -- 3.1 Random Topic Generation -- 3.2 Theme-Based Semantic Description Generation -- 3.3 User-Adapted Text Paraphrasing -- 3.4 Case Study -- 4 Conclusions -- References -- An Integration of Packet Routing and Data Processing in Sensor Networks -- 1 Introduction -- 2 Basic Approach -- 2.1 Example Scenario -- 2.2 Design Principle -- 2.3 Packet Description -- 3 Routing Specification Language -- 4 Design and Implementation -- 4.1 Interpretation of Description Embedded in Packets -- 4.2 Invocation for Data Processing Function -- 4.3 Packet Receiving and Forwarding -- 4.4 Current Status -- 5 Related Work -- 6 Conclusion -- References -- Quantum AI: Achievements and Challenges in the Interplay of Quantum Computing and Artificial Intelligence -- 1 Introduction -- 2 Quantum Computing and Artificial Intelligence -- 3 Quantum Artificial Intelligence -- 3.1 Data Dimension -- 3.2 Algorithmic Dimension -- 3.3 Computational Framework -- 4 Future Avenues of Research in QAI -- 5 Conclusion -- References -- An Architecture for a Coaching System to Support Type 2 Diabetic Patients -- 1 Introduction -- 2 Proposed Architecture -- 2.1 Rules Engine -- 2.2 Challenges Engine -- 2.3 Knowledge Management System -- 3 Conclusions and Future Work -- References. ; Machine Learning Based System for the Control and Evaluation of Programming Vulnerabilities -- 1 Introduction -- 2 Background -- 3 Proposed System -- 4 Results -- 5 Conclusion -- 6 Future Work -- References -- Quantum Optimization for IoT Security Detection -- 1 Introduction -- 2 Quantum Computing -- 3 Quantum Annealing -- 4 Qboost for IoT Security Detection (Q4IoT) -- 5 Empirical Evaluation -- 5.1 Dataset -- 5.2 Experimental Methodology -- 5.3 Results -- 6 Conclusions and Future Developments -- References -- IdeAir: IoT-Based System for Indoor Air Quality Control -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Development Methodology -- 3.2 Results of Applying TDDM4IoTS to This Case Study -- 4 Conclusions and Future Work -- References -- Automated Counting via Multicolumn Network and CytoSMART Exact FL Microscope -- 1 Introduction -- 1.1 Related Work -- 1.2 Image Processing -- 1.3 Deep Learning -- 2 Methods Network -- 2.1 Handling of the Neubauer Cell Counting Chamber -- 2.2 Data Set -- 2.3 The CNN Fundamentals -- 2.4 Data Augmentation -- 2.5 Evaluation Metrics -- 3 Experiments and Results -- 4 Analysis -- 5 Conclusion -- References -- Using Deep Learning for Implementing Paraphrasing in a Social Robot -- 1 Introduction -- 2 State of the Art -- 3 Our Approach Towards Paraphrases in Spanish -- 4 Integration in the Robot's Architecture -- 5 Evaluation -- 6 Use Case -- 7 Conclusions -- References -- Epilepsy Seizure Detection Using Low-Cost IoT Devices and a Federated Machine Learning Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Fog Computing System -- 2.2 Federated Machine Learning Process -- 3 Preliminary Results -- 4 Conclusions -- References -- Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction -- 1 Introduction -- 2 Materials and Methods. ; 2.1 Electroencephalography -- 2.2 Data Acquisition and Emotiv EPOC X Device -- 2.3 Image-Based Emotion Induction and Participants -- 2.4 Experimental Design -- 2.5 Brain Activity Preprocessing -- 2.6 Analysis -- 3 Results and Discussion -- 3.1 High-Low Valence Comparison -- 3.2 High-Low Arousal Comparison -- 3.3 Multiple Comparison -- 4 Conclusions -- References -- Real-Time Algorithm Recommendation Using Meta-Learning -- 1 Introduction -- 2 Meta-Learning -- 3 Methodology -- 4 Results -- 5 Discussion and Conclusions -- References -- Author Index.
• Titolo autorizzato: Ambient Intelligence--Software and Applications--13th International Symposium on Ambient Intelligence
• ISBN: 3-031-22356-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910637703603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in networks and systems ; ; Volume 603.