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Advanced Intelligent Pipeline Management Technology / / edited by Huai Su, Qi Liao, Haoran Zhang, Enrico Zio
| Advanced Intelligent Pipeline Management Technology / / edited by Huai Su, Qi Liao, Haoran Zhang, Enrico Zio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (199 pages) |
| Disciplina | 405 |
| Collana | Intelligent Technologies and Robotics Series |
| Soggetto topico |
Automatic control
Robotics Automation Building - Design and construction Underground construction Artificial intelligence Control, Robotics, Automation Building Construction and Design Underground Engineering and Tunnel Construction Intelligence Infrastructure |
| ISBN | 981-19-9899-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 - Overview for pipeline scheduling -- Chapter 2 - Advanced Modelling and algorithm for pipeline scheduling -- Chapter 3 - Demand Side Management in smart pipeline networks -- Chapter 4 - Operation condition monitoring for pipeline -- Chapter 5 - Operation condition prediction for pipeline -- Chapter 6 - Intelligent inspection for pipeline system -- Chapter 7 - Probabilistic Safety Analysis in complex pipeline systems -- Chapter 8 - Risk pre-warning method for pipeline systems -- Chapter 9 - Fault detection and diagnose method for pressurization devices -- Chapter 10 - Intelligent leakage detection for pipelines -- Chapter 11 - Smart emergency management of pipeline system -- Chapter 12 - Simulation of natural gas pipeline system. |
| Record Nr. | UNINA-9910770277103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Theory and Applications of Engineering Systems Under the Framework of Industry 4.0 : Proceedings of 2022 International Conference on Intelligent Systems Design and Engineering Applications / / edited by Yongsheng Ma
| Advanced Theory and Applications of Engineering Systems Under the Framework of Industry 4.0 : Proceedings of 2022 International Conference on Intelligent Systems Design and Engineering Applications / / edited by Yongsheng Ma |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 605 |
| Soggetto topico |
Artificial intelligence
Engineering design Industrial engineering Production engineering Electric power distribution Computational intelligence Artificial Intelligence Engineering Design Industrial and Production Engineering Energy Grids and Networks Computational Intelligence Intelligence Infrastructure |
| ISBN | 981-19-9825-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Forward -- Preface -- Conference Committees -- Part I Theory and Application of Intelligent Computing -- Part II Intelligent Information System and Management Decision -- Part III Artificial Intelligence and Robots -- Part IV Mechanical design and intelligent manufacturing -- Part V Intelligent control and detection technology -- Index. |
| Record Nr. | UNINA-9910683357603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advancement in Power Transformer Infrastructure and Digital Protection / / by Nilesh Chothani, Maulik Raichura, Dharmesh Patel
| Advancement in Power Transformer Infrastructure and Digital Protection / / by Nilesh Chothani, Maulik Raichura, Dharmesh Patel |
| Autore | Chothani Nilesh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (331 pages) |
| Disciplina | 621.381044 |
| Altri autori (Persone) |
RaichuraMaulik
PatelDharmesh |
| Collana | Studies in Infrastructure and Control |
| Soggetto topico |
Power electronics
Artificial intelligence Power Electronics Artificial Intelligence Intelligence Infrastructure |
| ISBN |
9789819938704
9819938708 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Key Features of the Book -- Contents -- About the Authors -- Abbreviations -- List of Figures -- List of Tables -- 1 Transformer Infrastructure for Power Grid -- 1.1 Introduction -- 1.2 Role of Large Power Transformers in the Electric Grid -- 1.3 Power System Infrastructure -- 1.4 Three-Phase Transformer Interconnections -- 1.5 Transformer Technology Development -- 1.5.1 Design Technology -- 1.5.2 Testing of Transformer -- 1.6 On-Load Tap Changer (OLTC) of Transformer -- 1.6.1 Where to Employ the OLTC on Transformer -- 1.6.2 Classification of OLTC Based on Its Construction -- 1.6.3 Advantages of OLTCs -- 1.6.4 Disadvantages of OLTCs -- 1.7 Dissolved Gas Analysis for Transformer Monitoring and Protection -- 1.7.1 How Gases Generated in Transformer -- 1.7.2 Identification of Faults by Gas Analysis -- 1.7.3 Methods for DGA -- 1.7.4 Advantages of Performing DGA -- 1.8 Condition Monitoring of the Transformer -- 1.8.1 Working Condition Monitoring -- 1.8.2 Emergency Condition Monitoring -- 1.9 Real-Time Operation and Protection of Power Transformer -- 1.10 Smart Transformer for Smart Grid Operation -- 1.11 Advanced Transformer Infrastructure (ATI)-Various Benefits -- 1.12 Conclusion -- References -- 2 An Overview of the Protection of Power Transformers -- 2.1 Protection Basics -- 2.1.1 Unit and Non-unit Protection -- 2.1.2 Primary and Backup Protection -- 2.2 Problem Statements and Basics -- 2.3 Investigation Targets -- 2.4 Introduction -- 2.5 Different Faults/Abnormalities Observed in Transformer -- 2.5.1 Internal Fault -- 2.5.2 Sources of Internal Fault in Transformer -- 2.6 External Fault for the Transformer -- 2.7 Abnormalities in the Transformer -- 2.8 Different Transformer Protective Schemes Used in Field -- 2.8.1 Overcurrent (OC) Protection.
2.8.2 OC (Overcurrent) Protection with Harmonic Restrain Unit (HRU) -- 2.8.3 REF (Restricted Earth Fault) Protective Scheme -- 2.8.4 Unit-Type Protection of Transformer (Differential Protection) -- 2.9 General Magnetizing Inrush Phenomenon -- 2.10 Over-Fluxing Condition -- 2.11 Inter-Turn Fault Protection -- 2.12 Non-electrical Protection -- 2.12.1 Thermal Relay -- 2.12.2 Temperature-Based OTI and WTI Relays -- 2.12.3 Buchholz Relay -- 2.12.4 Pressure Relays (PRs) -- 2.13 Generalized Protections Applied to Transformer -- 2.14 Adverse Effect of Single Phasing on Three-Phase Transformer -- 2.14.1 Basic Magnetic Circuit -- 2.14.2 Observation and Confirmation of the Theoretical Approach -- 2.14.3 Remarks of Single Phasing Supply to Three-Phase Transformer -- 2.15 Different Research Techniques Used in Transformer Protection -- 2.16 Examples -- 2.17 Conclusion -- References -- 3 Introduction to Magnetic Inrush of Power Transformer -- 3.1 Basic of Magnetic Inrush -- 3.2 Various Classifier Techniques to Identify Inrush States -- 3.2.1 Discriminative Technique Depending on Harmonics Content (Which Contains DC Offset) -- 3.2.2 Electrical Quantity's Wave Pattern-Based Techniques -- 3.2.3 Discriminative and Decomposing Schemes -- 3.2.4 Morphological-Based Analysis -- 3.2.5 Power Utilization-Dependent Techniques -- 3.2.6 Flux-Based Methodologies -- 3.2.7 Methodology for Mitigation of Level of Inrush Current -- 3.3 The Proposed Technique for Inrush Stimuli Discrimination -- 3.4 System Modeling -- 3.5 Anticipated Algorithm -- 3.6 Obtained Results Discussion -- 3.7 Magnetic Inrush Case -- 3.8 Interior Type of Fault Case -- 3.9 Interior Type of Fault Followed by Inrush Case -- 3.10 Conclusion -- 3.11 Question and Answer -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 4 Current Transformer Infrastructure and Its Application to Power System Protection. 4.1 Basic of Current Transformer (CT) -- 4.2 Design Consideration of Current Transformer -- 4.2.1 Over-Sizing Factors of CT -- 4.3 Diminishing the Effects of CT Saturation -- 4.3.1 Time-to-Saturation -- 4.3.2 Required Caution in CT Optimal Choice -- 4.4 Consequences of CT Saturation on Protective Relays -- 4.4.1 Impact of CT Saturation on Electromechanical Relays -- 4.4.2 Impact of CT Saturation on Static/Digital Relays -- 4.4.3 Influence of CT Saturation on Differential Relays -- 4.5 Important Points to Select CTs for Protective Schemes -- 4.6 System Diagram and Parameters -- 4.7 Effect of Parameter Variations on CT Performance -- 4.7.1 Consideration of Core Over-Sizing Factors at FIA = 0.515 -- 4.7.2 Effect of DC Component -- 4.7.3 CT Secondary Burden Effect on Saturation -- 4.7.4 CT Saturation Effect Under the Influence of the Remnant Flux Density -- 4.7.5 Effect of FIA Variation on CT -- 4.8 CT Saturation Analysis in Laboratory Prototype -- 4.9 Detection of Saturation of CT in Unit-Type Protection of Power Transformer -- 4.9.1 Simulation Modeling of Power System -- 4.9.2 Projected Approach -- 4.10 Result Analysis -- 4.10.1 Internal Fault -- 4.10.2 External Fault Without CT Saturation -- 4.10.3 External Fault with CT Saturation -- 4.11 Conclusion -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 5 Impact of Transitory Excessive Fluxing Condition on Power Transformer Protection -- 5.1 Introduction -- 5.2 Modeling of System Diagram -- 5.3 Problem Declaration and Algorithm Suggestion -- 5.4 Investigation of the Obtained Results -- 5.4.1 Performance Evaluation of the Projected Scheme for the Period of Normal State/Exterior Fault State of the Transformer -- 5.4.2 Performance Evaluation of the Projected Scheme While Insider Fault State of the Transformer. 5.4.3 Performance Evaluation of the Projected Scheme for Excessive Fluxing State of the Considered Transformer -- 5.5 Elaboration of Hardware Arrangement and Result Conversation -- 5.5.1 Current Wave Pattern While Interior Fault Case of Transformer -- 5.5.2 Current Wave Pattern While Exterior Fault Case of the Transformer -- 5.5.3 Current Wave Pattern While Continuous and Temporary Excessive Fluxing State of the Considered Transformer -- 5.6 Advantages of the Presented Scheme Over the Conventional Scheme -- 5.7 Conclusion -- 5.8 Question and Answer -- References -- 6 Total Harmonic Distortion-Based Improved Transformer Protective Scheme -- 6.1 Introduction -- 6.2 Modeling of Power Structure -- 6.3 Presented Technique for Inrush and Fault Discrimination -- 6.4 The Outcome of the Proposed Technique -- 6.4.1 Initial Inrush -- 6.4.2 Internal Fault Condition -- 6.4.3 Energization of Transformer in Existence of Faulty Condition -- 6.4.4 Fault Case While CT Saturates -- 6.5 Hardware Test Arrangement for Different Result Investigation -- 6.5.1 Preliminary Inrush Situation -- 6.5.2 Sympathetic Type of Inrush Condition -- 6.5.3 Recovery Type of Inrush Condition -- 6.5.4 Exterior Fault Cases -- 6.5.5 Exterior Fault with CT Saturation Cases -- 6.5.6 Interior Fault Case -- 6.5.7 Interior Fault While CTs Saturates -- 6.5.8 No-load Current with Its Harmonics -- 6.6 Conclusion -- 6.7 Question and Answer -- References -- 7 Adaptive Biased Differential Protection Considering Over-Fluxing and CT Saturation Conditions -- 7.1 The Preamble of Idea Generation -- 7.2 Problem Declaration and System Diagram Descriptions -- 7.3 Projected Algorithm for Adaptive Transformer Differential Protection -- 7.3.1 Modified Full Cycle DFT (MFCDFT) Algorithm for Phasor Estimation -- 7.3.2 Setting of Biased Percentage Differential Relaying Scheme. 7.3.3 Detection of Magnetizing Inrush in Transformer -- 7.3.4 Adaptation in Basic Pickup Setting -- 7.3.5 Vavg/f Transformer Protection or Transformer Over-Fluxing Protection -- 7.3.6 Current Transformer Saturation Detection -- 7.4 Various Result Exploration with Argument -- 7.4.1 Normal Load, Overloading, and External Fault State -- 7.4.2 Transformer Inrush Detection -- 7.4.3 A Fault Within the Internal Premises of the Transformer -- 7.4.4 External Fault with CT Saturation Condition -- 7.4.5 Discrimination of Over-Fluxing in Transformer Protection -- 7.4.6 Inception of Internal Fault in the Existence of Over-Fluxing Situation -- 7.5 Laboratory Setup for Hardware Test Results -- 7.5.1 The Inrush of Transformer on Hardware -- 7.5.2 Normal Load, Overloading, and External Fault Situation -- 7.5.3 Internal Fault Situation -- 7.5.4 Over-Fluxing Situation -- 7.5.5 Saturation of CT During External Fault -- 7.5.6 Very Severe External Fault in the Existence of Over-Fluxing Condition -- 7.6 Conclusion -- 7.7 Question and Answer -- Appendix -- References -- 8 Convolution Neural Network and XGBoost-Based Fault Identification in Power Transformer -- 8.1 Brief Introduction About the Work -- 8.2 Combined CNN-XGBoost Technique -- 8.2.1 Convolutional Neural Network (CNN) -- 8.2.2 Extreme Gradient Boosting (XGBoost) -- 8.3 Power System Network -- 8.3.1 Training and Testing Data Generation -- 8.4 Algorithm of the Proposed XGBoost Scheme -- 8.4.1 Parameter Setting in Algorithm -- 8.5 Result in Discussion on Fault Classification -- 8.6 Hardware Setup for Various Result Analyses -- 8.7 Conclusion -- 8.8 Questions and Answers -- Appendices -- Appendix 1 -- Appendix 2 -- References -- 9 Sequential Component-Based Improvement in Percentage Biased Differential Protection of a Power Transformer -- 9.1 Introduction. 9.2 Projected Transformer Differential Protection Performance. |
| Record Nr. | UNINA-9910736015703321 |
Chothani Nilesh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Collection of AI Innovations by Chinese Teenagers : Discovering Youthful Ingenuity / / edited by Ronghuai Huang, Dejian Liu, Jinbao Zhang, Yanyan Li
| A Collection of AI Innovations by Chinese Teenagers : Discovering Youthful Ingenuity / / edited by Ronghuai Huang, Dejian Liu, Jinbao Zhang, Yanyan Li |
| Autore | Huang Ronghuai |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (211 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
LiuDejian
ZhangJinbao LiYanyan |
| Collana | Smart Computing and Intelligence |
| Soggetto topico |
Artificial intelligence
Educational technology Intelligence Infrastructure Artificial Intelligence Digital Education and Educational Technology |
| ISBN | 981-9733-16-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Preface -- Features of the book -- Case 1: A Monitoring System for Migratory Bird Beijing Swift with Object Detection -- Case 2: An Intelligent Detection System for Monitoring Food Waste in School Dining Rooms -- Case 3: A Stroke Diagnosis System with CNN Algorithm trained by OpenAccess Brain CT Datasets -- Case 4: Application of Face Detection for Learning Engagement in Classroom -- Case 5: A Smart Monitoring System on Refrigeration with Neural Network Models -- Case 6: A Rotor Fault Detection System Based on Nonlinear and Dynamic Response -- Case 7: A Detection System for Choosing Ripe Strawberry with Machine Learning -- Case 8: Developing An Interactive Show-Wall with Smart Home Technology for STEM Learning -- Case 9: An Intelligent Sensible System on Door Locker for Notification of Older People Lock-Forgetting -- Case 10: Designing a Smart Car for Connecting Home and Community Delivery Pick-up Point. |
| Record Nr. | UNINA-9910879585103321 |
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Huang Ronghuai
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cross-device Federated Recommendation : Privacy-Preserving Personalization / / by Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen
| Cross-device Federated Recommendation : Privacy-Preserving Personalization / / by Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen |
| Autore | Kong Xiangjie |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (187 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
WangLingyun
WangMengmeng ShenGuojiang |
| Collana | Machine Learning: Foundations, Methodologies, and Applications |
| Soggetto topico |
Data mining
Data protection - Law and legislation Machine learning Artificial intelligence Expert systems (Computer science) Data Mining and Knowledge Discovery Privacy Machine Learning Intelligence Infrastructure Knowledge Based Systems |
| ISBN |
9789819632121
9819632129 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Learning Paradigms in Cross-device Federated Recommendation -- Chapter 3. Privacy Computing in Cross-device Federated Recommendation -- Chapter 4. Federated Issues in Cross-device Federated Recommendation -- Chapter 5. Future Prospects. |
| Record Nr. | UNINA-9910986132203321 |
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Kong Xiangjie
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Embodied Multi-Agent Systems : Perception, Action, and Learning / / by Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo
| Embodied Multi-Agent Systems : Perception, Action, and Learning / / by Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo |
| Autore | Liu Huaping |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXVIII, 229 p. 108 illus., 107 illus. in color.) |
| Disciplina | 006.30285436 |
| Collana | Machine Learning: Foundations, Methodologies, and Applications |
| Soggetto topico |
Multiagent systems
Robotics Artificial intelligence Multiagent Systems Intelligence Infrastructure Artificial Intelligence |
| ISBN | 981-9658-71-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Background -- Chapter 1. Embodied Intelligence -- Chapter 2. Embodied Multi-agent System -- Part II. Theory and Methods -- Chapter 3. Perception-Action Loop in Embodied Multi-agent System -- Chapter 4. Embodied Cooperation in Multi-agent System -- Chapter 5. Competitive Learning in Embodied Multi-agent System -- Chapter 6. Large Language Model for Embodied Multi-agent System -- Part III. Applications -- Chapter 7. Simulation Platform for Embodied Collaboration between Human and Robots -- Chapter 8. Application of Embodied Multi-agent System -- Part IV. Conlusions -- Chapter 9. Conclusions and Future Directions. |
| Record Nr. | UNINA-9911007462403321 |
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Liu Huaping
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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First Working Conference on Artificial Intelligence Development for a Resilient and Sustainable Tomorrow : AI Tomorrow 2023 / / herausgegeben von Christian Zinke-Wehlmann, Julia Friedrich
| First Working Conference on Artificial Intelligence Development for a Resilient and Sustainable Tomorrow : AI Tomorrow 2023 / / herausgegeben von Christian Zinke-Wehlmann, Julia Friedrich |
| Autore | Zinke-Wehlmann Christian |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2024 |
| Descrizione fisica | 1 online resource (158 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | FriedrichJulia |
| Collana | Informatik aktuell |
| Soggetto topico |
Artificial intelligence
Natural language processing (Computer science) Artificial Intelligence Natural Language Processing (NLP) Intelligence Infrastructure |
| ISBN |
9783658437053
3658437057 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Introduction -- Resilient and Sustainable AI. Positioning paper on the relation of AI, resilience and sustainability -- Classification of static poses based on key point detection for application of incriminated image files -- Human Centered Implementation Process of AI in SMEs – Conditions for Success -- LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT -- Foundations for the Development of an AI-based, Platformindipendent cOmpanion- app[for] Lifelong Learning-Optimization (APOLLO)* -- Identification of Machine Learning Algorithms to Share Tacit Experimental Knowledge in Manual Production -- An Application of AI for Online Estimation of the Impact of Imperfections in Additive Manufactured Components. |
| Record Nr. | UNINA-9910850888403321 |
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Zinke-Wehlmann Christian
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| Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Vieweg, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Human-Centered Perspective of Intelligent Personalized Environments and Systems / / edited by Bruce Ferwerda, Mark Graus, Panagiotis Germanakos, Marko Tkalčič
| A Human-Centered Perspective of Intelligent Personalized Environments and Systems / / edited by Bruce Ferwerda, Mark Graus, Panagiotis Germanakos, Marko Tkalčič |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (302 pages) |
| Disciplina | 004.019 |
| Collana | Human–Computer Interaction Series |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Cognitive psychology Artificial intelligence User Interfaces and Human Computer Interaction Cognitive Psychology Intelligence Infrastructure |
| ISBN | 9783031551093 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Theory: Individual differences for intelligent personalized environments -- Human factors in user modeling for intelligent systems -- The role of human-centred ai in user modeling, adaptation, and personalization – Models, frameworks, and paradigms -- Fairness and explainability for enabling trust in AI systems -- Part II: Method: User models driven from human factors, inferred from data -- Transparent music preference modeling and recommendation with a model of human memory theory -- Personalization and individual differences in business data analytics -- Inferring Eudaimonia and Hedonia from digital traces -- Computational methods to infer human factors for adaptation and personalization using eye tracking -- Part III: Practice: The human factors in the center of applications and domains -- Coarse-grained detection for personalized online learning interventions -- Psychologically-informed design of energy recommender systems: Are nudges still effective in tailored choice environments?- Personalized persuasive technologies in health and wellness: From theory to practice. |
| Record Nr. | UNINA-9910855380903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human-Centered Services Computing for Smart Cities : IEICE Monograph / / edited by Yohei Murakami, Kosaku Kimura
| Human-Centered Services Computing for Smart Cities : IEICE Monograph / / edited by Yohei Murakami, Kosaku Kimura |
| Autore | Murakami Yohei |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (311 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | KimuraKosaku |
| Soggetto topico |
Artificial intelligence
Intelligence Infrastructure |
| ISBN | 981-9707-79-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Consistent and Quality-aware Service Composition in Smart Cities -- Chapter 2. Designing and Analyzing Human-in-the-loop Service Compositions -- Chapter 3. Service-Oriented Human-Machine Collaboration for a Multi-Language Service Platform in Smart Cities -- Chapter 4. Big Data Analysis Using AI-Based Automatic Service Composition -- Chapter 5. Privacy-Preserving Data Collection and Analysis for Smart Cities -- Chapter 6. Automated Negotiations Protocols for Complex Utility Function -- Chapter 7. Exploiting Cyber-Physical Systems for Monitoring and Assisting Elderly People at Home. |
| Record Nr. | UNINA-9910855392703321 |
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Murakami Yohei
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hybrid-Energy Sustainable Machining : Mechanism and Processability / / by Yanbin Zhang, Changhe Li
| Hybrid-Energy Sustainable Machining : Mechanism and Processability / / by Yanbin Zhang, Changhe Li |
| Autore | Zhang Yanbin |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (790 pages) |
| Disciplina | 660 |
| Altri autori (Persone) | LiChanghe |
| Soggetto topico |
Production engineering
Artificial intelligence Mechanical Process Engineering Intelligence Infrastructure |
| ISBN | 981-9670-26-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Hybrid-energy enhanced technologies for sustainable machining -- Chapter 2. Biological Stability and circulating purification of Cutting Fluids -- Chapter 3. Preparation and modification of bio-lubricants. |
| Record Nr. | UNINA-9911021148603321 |
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Zhang Yanbin
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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