top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection [[electronic resource] ] : 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection [[electronic resource] ] : 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVI, 374 p. 157 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer communication systems
Special purpose computers
Application software
Artificial Intelligence
Computer Communication Networks
Special Purpose and Application-Based Systems
Computer Applications
Information Systems Applications (incl. Internet)
ISBN 3-319-59930-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466281203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection : 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection : 15th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVI, 374 p. 157 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer communication systems
Special purpose computers
Application software
Artificial Intelligence
Computer Communication Networks
Special Purpose and Application-Based Systems
Computer Applications
Information Systems Applications (incl. Internet)
ISBN 3-319-59930-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484469403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of modern heuristic optimization methods in power and energy systems / / edited by Kwang Y. Lee, Zita A. Vale
Applications of modern heuristic optimization methods in power and energy systems / / edited by Kwang Y. Lee, Zita A. Vale
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2020]
Descrizione fisica 1 online resource (888 pages)
Disciplina 621.31
Collana IEEE Press series on power engineering
Soggetto topico Electric power systems - Mathematical models
ISBN 1-119-60231-9
1-119-60230-0
1-119-60228-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview of applications in power and energy systems -- Power system planning and operation -- Power system and power plant control -- Distribution system -- Integration of renewable energy in smart grid -- Electricity markets.
Record Nr. UNINA-9910554819403321
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of modern heuristic optimization methods in power and energy systems / / edited by Kwang Y. Lee, Zita A. Vale
Applications of modern heuristic optimization methods in power and energy systems / / edited by Kwang Y. Lee, Zita A. Vale
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2020]
Descrizione fisica 1 online resource (888 pages)
Disciplina 621.31
Collana IEEE Press series on power engineering
Soggetto topico Electric power systems - Mathematical models
ISBN 1-119-60231-9
1-119-60230-0
1-119-60228-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview of applications in power and energy systems -- Power system planning and operation -- Power system and power plant control -- Distribution system -- Integration of renewable energy in smart grid -- Electricity markets.
Record Nr. UNINA-9910830040203321
Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Demand response in smart grids / / edited by Pedro Faria, Zita Vale
Demand response in smart grids / / edited by Pedro Faria, Zita Vale
Pubbl/distr/stampa [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023]
Descrizione fisica 1 online resource (240 pages)
Disciplina 621.31
Soggetto topico Smart power grids
Energy systems
ISBN 3-0365-5056-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Editors -- Pedro Faria and Zita Vale Demand Response in Smart Grids -- Hari Prasad Devarapalli, V. S. S. Siva Sarma Dhanikonda and Sitarama Brahmam Gunturi Non-Intrusive Identification of Load Patterns in Smart Homes Using Percentage Total Harmonic Distortion -- Huichao Ji, Junyou Yang, Haixin Wang, Kun Tian, Martin Onyeka Okoye and Jiawei Feng Electricity Consumption Prediction of Solid Electric Thermal Storage with a Cyber-Physical Approach -- Eunjung Lee, Jinho Kim and Dongsik Jang Load Profile Segmentation for Effective Residential Demand Response Program: Method and Evidence from Korean Pilot Study -- Xiaofeng Liu, Qi Wang and Wenting Wang Evolutionary Analysis for Residential Consumer Participating in Demand Response Considering Irrational Behavior -- Omid Abrishambaf, Pedro Faria and Zita Vale Ramping of Demand Response Event with Deploying Distinct Programs by an Aggregator -- Anders Clausen, Aisha Umair, Yves Demazeau and Bo Nørregaard Jørgensen Impact of Social Welfare Metrics on Energy Allocation in Multi-Objective Optimization -- Michel Zade, Zhengjie You, Babu Kumaran Nalini, Peter Tzscheutschler and Ulrich Wagner Quantifying the Flexibility of Electric Vehicles in Germany and California-A Case Study -- Alejandro Trista´n, Flurina Heuberger and Alexander Sauer A Methodology to Systematically Identify and Characterize Energy Flexibility Measures in Industrial Systems -- Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, Najib El Kamoun, Mohammed Khaidar and Khalid Zine-Dine Review of Control and Energy Management Approaches in Micro-Grid Systems -- Ildar Daminov, Re´my Rigo-Mariani, Raphael Caire, Anton Prokhorov and Marie-Ce´cile Alvarez-He´rault Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime.
Record Nr. UNINA-9910647230503321
[Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions / / edited by Enrique Herrera-Viedma, Zita Vale, Peter Nielsen, Angel Martin Del Rey, Roberto Casado Vara
Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions / / edited by Enrique Herrera-Viedma, Zita Vale, Peter Nielsen, Angel Martin Del Rey, Roberto Casado Vara
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 222 p. 65 illus., 42 illus. in color.)
Disciplina 006.3
004.36
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-23946-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Energy Consumption Forecasting using Ensemble Learning Algorithms -- Study of Multi-Tariff Influence on the Distributed Generation Remuneration -- Lighting Consumption Optimization in a SCADA Model of Office Building Considering User Comfort Level -- Capacitated vehicle routing problem with pick-up, alternative delivery and time windows (CVRPPADTW): a hybrid approach -- Predicting the Error of a Robot’s Positioning Repeatability with Artificial Neural Networks -- Assessing the effectiveness of using the MES in manufacturing enterprises in the context of Industry 4.0 -- Using the simulation method for modeling of manufacturing system predictive maintenance -- UAV mission planning subject to weather forecast constraints .
Record Nr. UNINA-9910484844403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems : International Workshops of PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Javier Bajo, Zita Vale, Kasper Hallenborg, Ana Paula Rocha, Philippe Mathieu, Pawel Pawlewski, Elena Del Val, Paulo Novais, Fernando Lopes, Nestor D. Duque Méndez, Vicente Julián, Johan Holmgren
Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems : International Workshops of PAAMS 2017, Porto, Portugal, June 21-23, 2017, Proceedings / / edited by Javier Bajo, Zita Vale, Kasper Hallenborg, Ana Paula Rocha, Philippe Mathieu, Pawel Pawlewski, Elena Del Val, Paulo Novais, Fernando Lopes, Nestor D. Duque Méndez, Vicente Julián, Johan Holmgren
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIX, 496 p. 165 illus.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Computer simulation
E-commerce
Artificial Intelligence
Computer Applications
Information Systems Applications (incl. Internet)
Simulation and Modeling
e-Commerce/e-business
ISBN 3-319-60285-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Workshop on Agent based Applications for Air Transport and Application of Agents to Passenger Transport -- Workshop on Agent-based Artificial Markets Computational Economics -- Workshop on Agents and Multi-agent Systems for AAL and e-HEALTH -- Workshop on Agent-Based Solutions for Manufacturing and Supply Chain -- Workshop on MAS for Complex Networks and Social Computation -- Workshop on Decision Making in Dynamic Information Environments -- Workshop on Multi-agent based Applications for Smart Grids and Sustainable Energy Systems -- Workshop on Multiagent System based Learning Environments -- Workshop on Smart Cities and Intelligent Agents.
Record Nr. UNINA-9910254812903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent data mining and analysis in power and energy systems : models and applications for smarter efficient power systems / / edited by Zita A. Vale [and three other]
Intelligent data mining and analysis in power and energy systems : models and applications for smarter efficient power systems / / edited by Zita A. Vale [and three other]
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2023]
Descrizione fisica 1 online resource (499 pages)
Disciplina 006.312
Collana IEEE Press Series on Power and Energy Systems
Soggetto topico Data mining
Electric power systems
Soggetto non controllato Electric Power
Technology & Engineering
ISBN 1-119-83405-8
1-119-83403-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Editors -- Notes on Contributors -- Preface -- Part I. Data Mining and Analysis Fundamentals -- 1. Foundations -- Ansel Y. Rodríguez Gonzl̀ez, Angel Díaz Pacheco, Ramón Aranda, and Miguel Angel Carmona -- 2. Data mining and analysis in power and energy systems: an introduction to algorithms and applications -- Fernando Lezama -- 3. Deep Learning in Intelligent Power and Energy Systems -- Bruno Mota, Tiago Pinto, Zita Vale, and Carlos Ramos -- Part II. Clustering -- 4. Data Mining Techniques applied to Power Systems -- Sérgio Ramos, Joô Soares, Zahra Forouzandeh, and Zita Vale -- 5. Synchrophasor Data Analytics for Anomaly and Event Detection, Classification and Localization -- Sajan K. Sadanandan, A. Ahmed, S. Pandey, and Anurag K. Srivastava -- 6. Clustering Methods for the Profiling of Electricity Consumers Owning Energy Storage System -- Ct̀ia Silva, Pedro Faria, Zita Vale, and Juan Manuel Corchado -- Part III. Classification -- 7. A Novel Framework for NTL Detection in Electric Distribution Systems -- Chia-Chi Chu, Nelson Fabian Avila, Gerardo Figueroa, and Wen-Kai Lu -- 8. Electricity market participation profiles classification for decision support in market negotiation -- Tiago Pinto and Zita Vale -- 9. Socio-demographic, economic and behavioural analysis of electric vehicles -- Rúben Barreto, Tiago Pinto, and Zita Vale -- Part IV. Forecasting -- 10. A Multivariate Stochastic Spatio-Temporal Wind Power Scenario Forecasting Model -- Wenlei Bai, Duehee Lee, and Kwang Y. Lee -- 11. Spatio-Temporal Solar Irradiance and Temperature Data Predictive Estimation -- Chirath Pathiravasam and Ganesh K. Venayagamoorthy -- 12. Application of decomposition-based hybrid wind power forecasting in isolated power systems with high renewable energy penetration -- Evgenii Semshikov, Michael Negnevitsky, James Hamilton, and Xiaolin Wang -- Part V. Data analysis -- 13. Harmonic Dynamic Response Study of Overhead Transmission Lines -- Dharmbir Prasad, Rudra Pratap Singh, Md. Irfan Khan, and Sushri Mukherjee -- 14. Evaluation of Shortest Path to Optimize Distribution Network Cost and Power Losses in Hilly Areas: A Case Study -- Subho Upadhyay, Rajeev Kumar Chauhan, and Mahendra Pal Sharma -- 15. Intelligent Approaches to Support Demand Response in Microgrid Planning -- Rahmat Khezri, Amin Mahmoudi, and Hirohisa Aki -- 16. Socio-Economic Analysis of Renewable Energy Interventions: Developing Affordable Small-Scale Household Sustainable Technologies in Northern Uganda -- Jens Bo Holm-Nielsen, Achora Proscovia O Mamur, and Samson Masebinu -- Part VI. Other machine learning applications -- 17. A Parallel Bidirectional Long Short-Term Memory Model for Non-Intrusive Load Monitoring -- Victor Andrean and Kuo-Lung Lian -- 18. Reinforcement Learning for Intelligent Building Energy Management System Control -- Olivera Kotevska and Philipp Andelfinger -- 19. Federated Deep Learning Technique for Power and Energy Systems Data Analysis -- Hamed Moayyed, Arash Moradzadeh, Behnam Mohammadi-Ivatloo, and Reza Ghorbani -- 20. Data Mining and Machine Learning for Power System Monitoring, Understanding, and Impact Evaluation -- Xinda Ke, Huiying Ren, Qiuhua Huang, Pavel Etingov and Zhangshuan Hou -- Conclusions -- Zita Vale, Tiago Pinto, Michael Negnevitsky, and Ganesh Kumar Venayagamoorthy.
Record Nr. UNINA-9910830100903321
Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Progress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I
Progress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part I
Autore Moniz Nuno
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (551 pages)
Altri autori (Persone) ValeZita
CascalhoJosé
SilvaCatarina
SebastiãoRaquel
Collana Lecture Notes in Computer Science Series
ISBN 3-031-49008-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Keynotes -- Machine Learning Algorithms for Brain-Machine Interfaces -- Digital Twins of the Ocean -- On the Use (and Misuse) of Differential Privacy in Machine Learning -- Learning on Graphs -- Contents - Part I -- Contents - Part II -- Ambient Intelligence and Affective Environments -- Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School -- 1 Introduction -- 2 Education About AI -- 3 The RoboboITS -- 3.1 RoboboITS Architecture -- 3.2 RoboboITS Operation -- 4 AI Lesson Implemented -- 5 Secondary School Validation -- 6 Conclusions -- References -- Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People's Eyes -- 1 Introduction -- 2 Gamified CollectiveEyes -- 2.1 Seeing Several Viewpoints Simultaneously -- 2.2 Navigating Views with Gaze-Focused Gesture -- 2.3 Topic Channels -- 2.4 Thing-Focused and Value-Focused Topic Channel -- 2.5 Gamification Strategies in Gamified CollectiveEyes -- 3 A User Study for Motivation Management -- 3.1 Research Method -- 3.2 Effects of Topic Channels -- 3.3 Effects of Gamification -- 3.4 Effects of Consciousness -- 4 A User Study for Serendipity Management -- 4.1 Research Method -- 4.2 Effects of Serendipity -- 5 Related Work -- 6 Limitation of the Current Study -- 7 Conclusion and Future Work -- References -- Design and Development of Ontology for AI-Based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients -- 1 Introduction -- 2 Related Works -- 2.1 FoodOn Ontology -- 2.2 Quisper Ontology -- 2.3 Ontology Based Food Recommendation -- 3 Methodology -- 3.1 Diabetes Use Case -- 3.2 Obesity Use Case -- 3.3 Tube Feeding Use Case -- 4 Proposed Ontology -- 5 Discussion -- 6 Conclusions -- References.
A System for Animal Health Monitoring and Emotions Detection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 System Overview -- 5 Experiments -- 6 Results Evaluation -- 7 Future Works -- 8 Conclusion -- References -- Ethics and Responsibility in Artificial Intelligence -- A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics -- 1 Introduction -- 2 Background -- 2.1 Privacy -- 2.2 Fairness -- 2.3 Related Work -- 3 Experimental Study -- 3.1 Data -- 3.2 Methods -- 3.3 Experimental Results -- 4 Discussion -- 5 Conclusion -- References -- A Maturity Model for Industries and Organizations of All Types to Adopt Responsible AI-Preliminary Results -- 1 Introduction -- 1.1 Context and Justification -- 1.2 Why a Maturity Model for Responsible Artificial Intelligence (RAI)? -- 2 Methodology -- 3 The Maturity Model for Responsible AI -- 4 Implementation, Results and Discussion -- 5 Conclusions -- References -- Completeness of Datasets Documentation on ML/AI Repositories: An Empirical Investigation -- 1 Introduction and Motivation -- 2 Documentation Test Sheet from Related Works -- 2.1 Fields of Information -- 2.2 Measurement -- 3 Study Design -- 3.1 Repositories Under Analysis -- 3.2 Datasets Selection -- 4 Results and Discussion -- 4.1 Datasets Level -- 4.2 Sections Level -- 4.3 Test Fields Level -- 5 Threats to Validity and Limitations -- 6 Conclusions -- 7 Future Work -- References -- Navigating the Landscape of AI Ethics and Responsibility -- 1 Introduction -- 2 Research Methodology -- 3 Analysis of the Literature -- 4 Discussion -- 5 Conclusion -- References -- Towards Interpretability in Fintech Applications via Knowledge Augmentation -- 1 Introduction -- 2 Interpretability in Fintech -- 2.1 Interpretability Approaches -- 2.2 Surrogate Models -- 3 Knowledge Extraction and Augmentation -- 3.1 Knowledge Extraction Methods.
3.2 Knowledge Augmentation Methods -- 4 Proposed Approach -- 5 Experimental Setup -- 5.1 Evaluation Metrics -- 5.2 Case Studies -- 6 Analysis of Results -- 7 Conclusions and Future Work -- References -- General Artificial Intelligence -- Revisiting Deep Attention Recurrent Networks -- 1 Introduction -- 2 Related Work -- 2.1 Deep Attention Recurrent Q-Network -- 2.2 Soft Top-Down Spatial Attention -- 2.3 Similarities Between DARQN and STDA -- 3 Experimental Setup -- 3.1 Extensions to the DARQN Architecture -- 3.2 Top-Down Spatial Attention Agent -- 3.3 Training Setup -- 4 Experimental Results -- 4.1 Preliminary Results -- 4.2 Comparative Results (DARAC vs. TDA) -- 4.3 Visualization of the Attention Maps -- 4.4 Discussion -- 5 Conclusion -- References -- Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Augmentation Scheme -- 3.2 Pre-training with Augmentations -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Pre-training of Model-Based RL Agents -- 4.3 Atari Games -- 5 Conclusions -- References -- DyPrune: Dynamic Pruning Rates for Neural Networks -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Pruning Weights -- 2.3 Removing Neurons -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Robustness Analysis of Machine Learning Models Using Domain-Specific Test Data Perturbation -- 1 Introduction -- 2 Literature Review -- 2.1 Image -- 2.2 Audio -- 2.3 Text -- 3 Experimental Setup -- 4 Results -- 5 Conclusion -- References -- Vocalization Features to Recognize Small Dolphin Species for Limited Datasets -- 1 Introduction and Related Work -- 2 Features -- 2.1 The Spectral Analysis Features -- 2.2 The Contour Analysis Features -- 3 Classification -- 3.1 Data -- 3.2 The Training Phase -- 4 Results and Discussion -- 5 Conclusion -- References.
Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo -- 1 Introduction -- 2 Model -- 3 Empirical Illustration -- 3.1 Model for Univariate Case -- 3.2 Model for Multivariate Case -- 3.3 New Nonparametric Kernel -- 4 Results -- 5 Conclusion -- References -- Intelligent Robotics -- A Review on Quadruped Manipulators -- 1 Introduction -- 2 Methodology -- 3 Quadruped Manipulators -- 3.1 Leg-Arm Approaches -- 3.2 Robotic Arm Addition -- 4 Motion Planning -- 4.1 Separate Systems (SS) -- 4.2 Combined Systems (CS) -- 4.3 Discussion -- 5 Kinematic Configuration -- 6 Conclusions -- References -- Knowledge Discovery and Business Intelligence -- Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis -- 1 Introduction -- 2 Related Work -- 3 Data and Methods -- 3.1 Data Pre-processing -- 3.2 Road Transportation and Emission Network -- 4 Experimental Results -- 4.1 Emissions over Porto -- 4.2 Road Network Analysis -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Analysis of Dam Natural Frequencies Using a Convolutional Neural Network -- 1 Introduction -- 2 Case Study: Cabril Dam -- 2.1 Dam Description -- 2.2 Continuous Vibration Monitoring System -- 3 Supervised Convolutional Neural Network (CNN) Proposed for the Analysis of Dam Natural Frequencies -- 3.1 Dataset -- 3.2 Main Model -- 3.3 CNN Hyperparameter Tuning -- 4 Results: Analysis of Natural Frequencies of Cabril Dam -- 5 Conclusion and Future Work -- References -- Imbalanced Regression Evaluation Under Uncertain Domain Preferences -- 1 Introduction -- 2 Imbalanced Regression -- 2.1 Relevance Functions -- 2.2 Evaluation -- 3 Sensitivity Evaluation and Relevance Uncertainty -- 4 Experimental Study -- 4.1 Methods -- 4.2 Results -- 5 Conclusions and Future Work -- References.
Studying the Impact of Sampling in Highly Frequent Time Series -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Setup -- 4.1 Algorithm -- 4.2 Datasets -- 4.3 Missing Data -- 4.4 Evaluation -- 5 Experiments -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Mining Causal Links Between TV Sports Content and Real-World Data -- 1 Introduction -- 2 Literature Review -- 3 Data -- 4 Methods -- 4.1 Granger Causality Test -- 4.2 Causal Analysis of TV Viewership in Liga NOS -- 5 Results and Discussion -- 6 Conclusion -- References -- Hybrid SkipAwareRec: A Streaming Music Recommendation System -- 1 Introduction -- 2 Related Work -- 2.1 Recommendations with Negative Implicit Feedback -- 2.2 Sequential Music Recommendation -- 3 Methodology and Proposed Solution -- 3.1 Action Set Generation -- 3.2 Next Best Action Recommendation -- 3.3 Next Best Items Recommendation -- 4 Experiments and Results -- 4.1 Data Setup and Model Training -- 4.2 Evaluation -- 5 Conclusions and Future Work -- References -- Interpreting What is Important: An Explainability Approach and Study on Feature Selection -- 1 Introduction -- 2 Related Works -- 3 Datasets and Methods -- 3.1 Rossmann Store Sales -- 3.2 Bike Sharing Dataset -- 3.3 Data Exploration -- 3.4 LSTM Hyperparameter Tunning -- 3.5 SHAP Method Implementation -- 4 Experiments, Results, and Discussion -- 4.1 Experimental Setup -- 4.2 Experimental Procedure -- 4.3 Results -- 4.4 Discussion -- 5 Conclusion and Future Work -- References -- Time-Series Pattern Verification in CNC Machining Data -- 1 Introduction -- 2 Background -- 2.1 CNC Machining and Offset Adjustment in Turning -- 2.2 Feature Extraction and Linear Frequency Cepstral Coefficients -- 2.3 One-Class Classification -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References.
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities.
Record Nr. UNINA-9910770258303321
Moniz Nuno  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Progress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II
Progress in Artificial Intelligence : 22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5-8, 2023, Proceedings, Part II
Autore Moniz Nuno
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (606 pages)
Altri autori (Persone) ValeZita
CascalhoJosé
SilvaCatarina
SebastiãoRaquel
Collana Lecture Notes in Computer Science Series
ISBN 3-031-49011-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Keynotes -- Machine Learning Algorithms for Brain-Machine Interfaces -- Digital Twins of the Ocean -- On the Use (and Misuse) of Differential Privacy in Machine Learning -- Learning on Graphs -- Contents - Part II -- Contents - Part I -- Artifical Intelligence, Generation and Creativity -- Erato: Automatizing Poetry Evaluation -- 1 Introduction -- 2 Related Work -- 3 What Characterizes a Good Poem? -- 4 Erato: A Framework for Poetry Evaluation -- 4.1 General Structure -- 4.2 Available Modules -- 4.3 Extending Erato for Specific Purposes -- 5 Case Study: Human and Machine Poetry -- 5.1 Computer-Generated Poetry -- 5.2 Human-Written Poetry -- 5.3 Analysis -- 6 Conclusion and Future Directions -- References -- A Path to Generative Artificial Selves -- 1 Introduction -- 2 Creativity as Restructuring a Manifold -- 3 Selfhood -- 4 Reflexively Autocatalytic Foodset-Derived Networks (RAFs) -- 5 RAF Models of Emergent Cognition -- 6 Discussion -- 6.1 Related Research -- 6.2 Future Work: Experimental Testing and Validation -- 7 Conclusions -- References -- Human+Non-human Creative Identities. Symbiotic Synthesis in Industrial Design Creative Processes -- 1 Technologies and Creative Processes -- 2 AI-Tools and Design Practice -- 3 An Evolving Symbiotic Creative Ecology -- References -- AIGenC: AI Generalisation via Creativity -- 1 Introduction -- 2 Functional Creativity, Concept Space and Affordances -- 3 A Framework for Concept Transfer and Functional Creativity -- 3.1 Deep Reinforcement Learning -- 3.2 Concept Processing Component -- 3.3 Reflective Reasoning Component -- 3.4 Blending Component -- 4 Discussion -- References -- Creativity, Intentions, and Self-Narratives: Can AI Really Be Creative? -- 1 Introduction -- 2 Creativity -- 3 Process Creativity and Intentions -- 4 Intentions and AI.
5 Creativity in the Prompts -- 6 Self-Narratives -- 7 Conclusion -- References -- Evolving Urban Landscapes -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Visual Grammar -- 3.2 Lexicon -- 3.3 Rules -- 3.4 Implementation -- 4 Assessing Creativity -- 4.1 Definition of Creativity -- 4.2 Creativity in the Context of Our System -- 4.3 Questionnaire -- 4.4 Results Analysis -- 5 Final Remarks -- References -- Emotion4MIDI: A Lyrics-Based Emotion-Labeled Symbolic Music Dataset -- 1 Introduction -- 2 Related Work -- 2.1 Text Emotion Classification -- 2.2 Emotion-Labeled Symbolic Music Datasets -- 3 Methodology -- 3.1 Model -- 3.2 Training -- 3.3 Inference -- 4 Results -- 4.1 Emotion Classification on the GoEmotions Dataset -- 4.2 Labeled MIDI Dataset -- 5 Conclusion and Future Work -- References -- Artificial Intelligence and Law -- On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Hyperparameters Tuning -- 4 Results and Discussion -- 4.1 Experimental Setup -- 4.2 Hyperparameters Evaluation for LeNER-Br -- 4.3 Hyperparameter Evaluation for PL-Corpus -- 4.4 Comparison and Discussion -- 5 Conclusion and Future Works -- References -- Anonymisation of Judicial Rulings for Legal Analytics Purposes: Ethics, Law, and Compliance -- 1 Introduction -- 2 Advancements and Benefits of Legal Analytics -- 2.1 A Case Study: The Legal Analytics for Italian Law (LAILA) Project -- 3 Anonymisation of Judicial Rulings for Legal Analytics Purposes -- 3.1 The Legal Framework -- 3.2 Anonymisation Measures Taken by Judicial Offices -- 3.3 Anonymisation of Court Decisions in the Context of the LAILA Project -- 4 Conclusions: At the Crossroads of Law and Ethics -- References -- LeSSE-A Semantic Search Engine Applied to Portuguese Consumer Law -- 1 Introduction.
2 Related Work -- 3 Legal Semantic Search Engine -- 3.1 Datasets -- 3.2 System Overview -- 3.3 Semantic Pipeline -- 3.4 Lexical Pipeline -- 3.5 Results Selection and Presentation -- 3.6 Model Training and Optimization -- 4 Performance of LeSSE in Consumer Law -- 5 Performance of LeSSE in the Absence of Manual Annotations -- 6 Conclusions and Future Work -- References -- Does ChatGPT Pass the Brazilian Bar Exam? -- 1 Introduction -- 2 GPT in Law -- 3 Experiment Design -- 4 Results and Discussion -- 5 Conclusions and Further Work -- References -- A Semantic Search System for the Supremo Tribunal de Justiça -- 1 Introduction -- 2 Related Work -- 3 Data -- 4 Semantic Search System Architecture -- 5 Legal Language Model -- 5.1 Domain Adaptation -- 5.2 Semantic Textual Similarity -- 5.3 Natural Language Inference -- 5.4 Multilingual Knowledge Distillation -- 5.5 Metadata Knowledge Distillation -- 6 Evaluation -- 6.1 Language Model Evaluation -- 6.2 Search System Evaluation -- 7 Conclusion -- References -- Artificial Intelligence in Power and Energy Systems -- The AI Act Meets General Purpose AI: The Good, The Bad and The Uncertain -- 1 AI Act: The Regulation of GPAI -- 1.1 Context -- 1.2 Definition: Dimensions of Generality -- 1.3 Regulation: Challenges and Risks -- 2 AIA Draft -- 2.1 AI Requirements and Obligations -- 2.2 Key Elements: Value Chain and Cooperation -- 2.3 Exemptions -- 3 Conclusions -- References -- Rule-Based System for Intelligent Energy Management in Buildings -- 1 Introduction -- 2 Proposed Model -- 2.1 Power Consumption State Ruleset -- 2.2 Air Conditioning System Ruleset -- 2.3 Brightness Ruleset -- 3 Rulesets Evaluation -- 3.1 Consumption State Ruleset -- 3.2 Brightness Ruleset Case Study -- 3.3 Air Conditioning System Ruleset Case Study -- 4 Conclusions -- References.
Production Scheduling for Total Energy Cost and Machine Longevity Optimization Through a Genetic Algorithm -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Genetic Algorithm Implementation -- 4.1 Initial Population Procedure -- 4.2 Crossover Procedure -- 4.3 Mutation Procedure -- 4.4 Selection Procedure -- 5 Case Study -- 6 Results and Discussion -- 7 Conclusions -- References -- A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming -- 1 Introduction -- 2 Genetic Programming -- 3 Federated Learning -- 4 Methodology -- 5 Case Study -- 6 Discussion and Results -- 7 Conclusion -- References -- Artificial Intelligence in Medicine -- A Scoping Review of Energy Load Disaggregation -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Applied Domains -- 3.2 Data and Data Sources -- 3.3 Related Methods -- 4 Discussion -- 5 Conclusion -- References -- Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Model Development -- 2.3 Experimental Setting -- 2.4 Evaluation Metrics -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning -- 1 Introduction -- 2 Methods -- 2.1 Definition of Neural Network Architecture Components -- 2.2 Generalization Ability -- 2.3 Model Complexity -- 3 Results and Discussion -- 4 Conclusion -- References -- Multi-omics Data Integration and Network Inference for Biomarker Discovery in Glioma -- 1 Introduction -- 2 Materials and Methods -- 2.1 Graphical Lasso -- 2.2 Network Distance -- 2.3 Data Description -- 2.4 Pipeline and Implementation -- 2.5 Network Validation -- 3 Results -- 3.1 Variable Selection -- 3.2 Protein Networks -- 3.3 Validation Outcomes.
4 Discussion -- References -- Better Medical Efficiency by Means of Hospital Bed Management Optimization-A Comparison of Artificial Intelligence Techniques -- 1 Introduction -- 2 Background -- 2.1 Resources Planning in Hospital Settings -- 2.2 Related Work -- 3 Materials and Methods -- 3.1 Methodologies -- 3.2 Tools and Algorithms -- 3.3 Data Sets -- 4 Experiments -- 4.1 Problem Formulation -- 4.2 Data Provided -- 4.3 Data Preparation -- 4.4 Domain and Fitness Function -- 4.5 Optimization Techniques -- 4.6 Evaluation -- 5 Results and Discussion -- 5.1 Algorithm Settings -- 5.2 Results -- 6 Conclusions -- References -- AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture -- 1 Introduction -- 2 Literature Review -- 2.1 Digital Medical Scribe -- 2.2 Automatic Speech Recognition and Natural Language Processing Algorithms -- 3 System Architecture -- 4 Conclusion and Further Work -- References -- Combining Neighbor Models to Improve Predictions of Age of Onset of ATTRv Carriers -- 1 Introduction -- 2 Background -- 2.1 Ensemble Learning -- 2.2 Related Work -- 3 Single Learning Approach and Combination Strategies -- 3.1 Prediction Problem and Single Learning Approach -- 3.2 Data and Evaluation Strategy -- 3.3 Combination Strategies -- 3.4 Evaluation -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Unravelling Heterogeneity: A Hybrid Machine Learning Approach to Predict Post-discharge Complications in Cardiothoracic Surgery -- 1 Background -- 2 Dataset -- 3 Methodology -- 3.1 Unsupervised Learning Strategy -- 3.2 Supervised Learning Strategy -- 4 Results -- 4.1 Clustering -- 4.2 Classification -- 5 Discussion -- 6 Conclusion -- References -- Leveraging TFR-BERT for ICD Diagnoses Ranking -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Overview -- 3.2 Learning-to-Rank System.
3.3 Fine-Tuned Language Representation Model.
Record Nr. UNINA-9910770269303321
Moniz Nuno  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui