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Information technology in disaster risk reduction : 6th IFIP WG 5.15 international conference, ITDRR 2021, Morioka, Japan, October 25-27, 2021, revised selected papers / / edited by Jun Sasaki [and three others]
| Information technology in disaster risk reduction : 6th IFIP WG 5.15 international conference, ITDRR 2021, Morioka, Japan, October 25-27, 2021, revised selected papers / / edited by Jun Sasaki [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 353.950285 |
| Collana | IFIP Advances in Information and Communication Technology Ser. |
| Soggetto topico |
Natural disasters
Emergency management |
| ISBN | 3-031-04170-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Information Analysis for Situation Awareness -- Automatic Calculation of Damage Rate of Roofs Based on Image Segmentation -- 1 Introduction -- 1.1 Problem in Building Damage Investigation -- 1.2 Usage of Aerial Photos Images During Disaster -- 1.3 Study Purpose -- 2 Previous Study -- 3 Development of Automatic Method to Calculate the Rate of Damage on Roof -- 3.1 The Method to Calculate the Rate of Damage on the Roof in the Building Damage Investigation -- 3.2 The Method to Calculate Damage Rate of Roof in This Study -- 3.3 Trimming Algorithm -- 3.4 Shortcomings of this Study -- 3.5 Increase of Data by Division of Roof Surface -- 4 Division of Roof Surface -- 4.1 Previous Study About Roof Surface -- 4.2 Segmentation Model -- 4.3 Used Data -- 4.4 Training Method -- 4.5 Result of Division in the First Experiment -- 4.6 Roof Image with Some Features -- 4.7 Result of Division in Additional Experiment -- 4.8 Image Processing After Division -- 5 Classification of Damage Degree -- 5.1 Classification Model -- 5.2 Data Used -- 5.3 Training Method -- 5.4 Classification Result -- 6 Calculation of Damage Rate -- 6.1 Calculation Method of Estimated Damage Rate -- 6.2 Error of Correct Answer -- 6.3 Comparison of Correct Damage Rate and Estimated Damage Rate -- 6.4 Evaluation of Model Accuracy -- 7 Discussion and Future Tasks -- References -- Flood Disaster Mitigation System Adopting Meteorological Data and Geographic Information Systems -- 1 Introduction -- 2 Related Work -- 3 System Design Requirement Analysis of FDMS Using SD -- 3.1 Outlines of SD -- 3.2 Iceberg Model Analysis -- 3.3 Causal Loop Diagram Analysis -- 3.4 Leverage Points -- 3.5 Observed Data Examples at River -- 3.6 System Concept -- 4 Basic Design and Integration of System -- 4.1 Basic Design of System -- 4.2 Integration of System.
5 System Verification -- 6 Conclusion -- References -- Flood Disaster Management System for Situation Awareness and Response Using Twitter Data -- 1 Introduction -- 2 Related Work -- 2.1 Situation Awareness -- 2.2 Usage of Social Media for Situation Awareness During Disasters -- 2.3 Disaster Response and Relief -- 2.4 Originality of the Present Study -- 3 System Design -- 3.1 System Configuration -- 3.2 Data Collection -- 3.3 Extraction of Information Location -- 3.4 Web Application -- 3.5 Situation Awareness -- 4 System Development -- 4.1 System Frontend -- 4.2 System Backend -- 4.3 System Operation Environment -- 4.4 Operation Target Area -- 5 Conclusion -- References -- Evacuation and Rescue -- Proposed Evacuation Behavior Model Using Open-Source Data: Flood Disaster Case Study -- 1 Introduction -- 2 Related Studies -- 3 Evacuation Model Concept -- 3.1 Evacuation Decision Process Model -- 3.2 Calculation of Evacuation Shelter Choice Probability -- 3.3 Evacuee Rate Calculation -- 4 Simulation -- 4.1 Algorithm Overview -- 4.2 Target Area and Data -- 4.3 Data Used in the Simulation -- 4.4 Explanatory Variables -- 4.5 Scenarios -- 4.6 Optimization Method -- 4.7 Comparison Between Actual and Predicted Number of Evacuees -- 4.8 Field Survey -- 5 Conclusion -- References -- Agent-Based Tsunami Crowd Evacuation Simulation for Analysis of Evacuation Start Time and Disaster Rate in Zushi City -- 1 Introduction -- 2 Methods -- 2.1 Modelling of Target Areas -- 2.2 Tsunami Model and Evacuation Behaviour of Agents -- 3 Results and Discussion -- 4 Conclusion -- References -- Rescue Strategy in Case of Large-Scale Flood Damage in the Koto Delta Region -- 1 Introduction -- 2 Research Background -- 2.1 Characteristics of Flooding in the Koto Delta Region -- 2.2 Issues of Wide-Area Evacuation -- 3 Previous Studies and Purpose of this Study. 4 Estimation of Changes in the Number of Isolated People in the Koto Delta Region When Rescue Operations are Conducted -- 4.1 Data and Estimation Methods -- 4.2 Comparison of the Difference in the Size of Population Aggregation Unit Area -- 4.3 Comparison of the Difference in the Order of Rescuing Isolated People -- 4.4 Comparison of the Difference in the Evacuation Rate of the Residents on Upper Floors -- 4.5 Estimation of the Evacuation Rate Required to Complete Rescue in 7 days -- 5 Summary and Future Work -- References -- COVID-19 Issues -- Trial of Building a Resilient Face-To-Face Classroom Based on CO2-Based Risk Awareness -- 1 Introduction -- 2 Case Study and Issues -- 2.1 Case Study -- 2.2 Ventilation Issues -- 3 Measurement System -- 4 Experiments -- 4.1 Measurement at an Event -- 4.2 Measurement of the Whole Campus -- 5 Conclusion -- References -- Analysis of Quote Retweets for COVID-19 State of Emergency Related Tweets Posted from Prefectural Governors' Accounts in Japan -- 1 Introduction -- 2 Related Studies -- 3 Analysis of Tweets -- 3.1 Governors' Accounts to Be Analyzed -- 3.2 Tweets Collection -- 3.3 Analysis of Quote Retweets of Governors' Tweets -- 4 Conclusions -- References -- Insights from the COVID-19 Pandemic for Systemic Risk Assessment and Management -- 1 Introduction -- 1.1 Have We Learnt Enough from COVID-19 to Manage New Pandemic Waves Better? -- 1.2 The Aim of This Paper and How It Is Organized -- 2 Characteristics of a Major Pandemic in the Globalization Era -- 3 Risks in the Light of Systemic Interdependencies -- 3.1 Adequate Risk Definition in the Presence of Dynamic Complexity -- 3.2 Quantitative Analysis of Qualitative Models of Systemic Risk -- 4 Order of Magnitude of Pandemic Cascading Effects -- 4.1 The Risk Systemicity Approach -- 4.2 Cascading Effects as Vicious Cycles -- 5 Discussion -- References. IT Use for Risk and Disaster Management -- Leveraging Geospatial Technology in Disaster Management -- 1 Introduction -- 1.1 Disaster Scenario -- 1.2 Geospatial Technology -- 1.3 Geospatial Technology Innovations in Disaster Management -- 2 Karnataka State Disaster Management Information System (KSDMIS) - A Geospatial Web Application for Collecting Data on Disaster Events -- 2.1 About Karnataka -- 2.2 Objectives of KSDMIS Application Software -- 2.3 Benefits of KSDMIS Application Software -- 2.4 KSDMIS Application Software Structure -- 2.5 Mobile Interface for Data Collection and Updation -- 2.6 Web Interface to the KSDMIS Application Software -- 2.7 Adopting Geospatial Technology in KSDMIS -- 3 Geospatial Enabled - District Disaster Management Plan - GEDDMP System -- 3.1 Operation Strategy -- 3.2 Continuous Data Updation -- 3.3 Benefits of Geospatial Enabled-DDMP System -- 3.4 Geospatial Technology for Different Phases of Disaster Management -- 3.5 Geospatial Enabled DDMP Application Software Structure -- 3.6 Core Technology of Geospatial-DDMP Application Software -- 3.7 Workflow -- 3.8 Features of Survey Template HOOKs -- 3.9 Roadmap and Futuristic View -- References -- Information Technologies for Assessing the Effectiveness of the Quarantine Measures -- 1 Importance of Quarantine Measures -- 2 Variety of Quarantine Measures -- 3 Application of Restrictive Measures and the Need to Assess Their Efficiency -- 4 Selection of Modelling Approach for Quarantine Measure Efficiency -- 5 Overview of Epidemiology Models -- 6 Model Description and Development of Software -- 7 Model Description and Software Development -- 8 Discussion of Modelling Results -- 9 Scope of Application and Further Improvement of the Simulation Tool -- 10 Comparison of Modeling Results -- 11 Conclusions -- References -- Author Index. |
| Record Nr. | UNISA-996472066103316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Information Technology in Disaster Risk Reduction : 6th IFIP WG 5.15 International Conference, ITDRR 2021, Morioka, Japan, October 25–27, 2021, Revised Selected Papers / / edited by Jun Sasaki, Yuko Murayama, Dimiter Velev, Plamena Zlateva
| Information Technology in Disaster Risk Reduction : 6th IFIP WG 5.15 International Conference, ITDRR 2021, Morioka, Japan, October 25–27, 2021, Revised Selected Papers / / edited by Jun Sasaki, Yuko Murayama, Dimiter Velev, Plamena Zlateva |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 353.950285 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Application software
Computer engineering Computer networks Coding theory Information theory Social sciences - Data processing Computer and Information Systems Applications Computer Engineering and Networks Coding and Information Theory Computer Application in Social and Behavioral Sciences |
| ISBN | 3-031-04170-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Information Analysis for Situation Awareness -- Automatic Calculation of Damage Rate of Roofs Based on Image Segmentation -- 1 Introduction -- 1.1 Problem in Building Damage Investigation -- 1.2 Usage of Aerial Photos Images During Disaster -- 1.3 Study Purpose -- 2 Previous Study -- 3 Development of Automatic Method to Calculate the Rate of Damage on Roof -- 3.1 The Method to Calculate the Rate of Damage on the Roof in the Building Damage Investigation -- 3.2 The Method to Calculate Damage Rate of Roof in This Study -- 3.3 Trimming Algorithm -- 3.4 Shortcomings of this Study -- 3.5 Increase of Data by Division of Roof Surface -- 4 Division of Roof Surface -- 4.1 Previous Study About Roof Surface -- 4.2 Segmentation Model -- 4.3 Used Data -- 4.4 Training Method -- 4.5 Result of Division in the First Experiment -- 4.6 Roof Image with Some Features -- 4.7 Result of Division in Additional Experiment -- 4.8 Image Processing After Division -- 5 Classification of Damage Degree -- 5.1 Classification Model -- 5.2 Data Used -- 5.3 Training Method -- 5.4 Classification Result -- 6 Calculation of Damage Rate -- 6.1 Calculation Method of Estimated Damage Rate -- 6.2 Error of Correct Answer -- 6.3 Comparison of Correct Damage Rate and Estimated Damage Rate -- 6.4 Evaluation of Model Accuracy -- 7 Discussion and Future Tasks -- References -- Flood Disaster Mitigation System Adopting Meteorological Data and Geographic Information Systems -- 1 Introduction -- 2 Related Work -- 3 System Design Requirement Analysis of FDMS Using SD -- 3.1 Outlines of SD -- 3.2 Iceberg Model Analysis -- 3.3 Causal Loop Diagram Analysis -- 3.4 Leverage Points -- 3.5 Observed Data Examples at River -- 3.6 System Concept -- 4 Basic Design and Integration of System -- 4.1 Basic Design of System -- 4.2 Integration of System.
5 System Verification -- 6 Conclusion -- References -- Flood Disaster Management System for Situation Awareness and Response Using Twitter Data -- 1 Introduction -- 2 Related Work -- 2.1 Situation Awareness -- 2.2 Usage of Social Media for Situation Awareness During Disasters -- 2.3 Disaster Response and Relief -- 2.4 Originality of the Present Study -- 3 System Design -- 3.1 System Configuration -- 3.2 Data Collection -- 3.3 Extraction of Information Location -- 3.4 Web Application -- 3.5 Situation Awareness -- 4 System Development -- 4.1 System Frontend -- 4.2 System Backend -- 4.3 System Operation Environment -- 4.4 Operation Target Area -- 5 Conclusion -- References -- Evacuation and Rescue -- Proposed Evacuation Behavior Model Using Open-Source Data: Flood Disaster Case Study -- 1 Introduction -- 2 Related Studies -- 3 Evacuation Model Concept -- 3.1 Evacuation Decision Process Model -- 3.2 Calculation of Evacuation Shelter Choice Probability -- 3.3 Evacuee Rate Calculation -- 4 Simulation -- 4.1 Algorithm Overview -- 4.2 Target Area and Data -- 4.3 Data Used in the Simulation -- 4.4 Explanatory Variables -- 4.5 Scenarios -- 4.6 Optimization Method -- 4.7 Comparison Between Actual and Predicted Number of Evacuees -- 4.8 Field Survey -- 5 Conclusion -- References -- Agent-Based Tsunami Crowd Evacuation Simulation for Analysis of Evacuation Start Time and Disaster Rate in Zushi City -- 1 Introduction -- 2 Methods -- 2.1 Modelling of Target Areas -- 2.2 Tsunami Model and Evacuation Behaviour of Agents -- 3 Results and Discussion -- 4 Conclusion -- References -- Rescue Strategy in Case of Large-Scale Flood Damage in the Koto Delta Region -- 1 Introduction -- 2 Research Background -- 2.1 Characteristics of Flooding in the Koto Delta Region -- 2.2 Issues of Wide-Area Evacuation -- 3 Previous Studies and Purpose of this Study. 4 Estimation of Changes in the Number of Isolated People in the Koto Delta Region When Rescue Operations are Conducted -- 4.1 Data and Estimation Methods -- 4.2 Comparison of the Difference in the Size of Population Aggregation Unit Area -- 4.3 Comparison of the Difference in the Order of Rescuing Isolated People -- 4.4 Comparison of the Difference in the Evacuation Rate of the Residents on Upper Floors -- 4.5 Estimation of the Evacuation Rate Required to Complete Rescue in 7 days -- 5 Summary and Future Work -- References -- COVID-19 Issues -- Trial of Building a Resilient Face-To-Face Classroom Based on CO2-Based Risk Awareness -- 1 Introduction -- 2 Case Study and Issues -- 2.1 Case Study -- 2.2 Ventilation Issues -- 3 Measurement System -- 4 Experiments -- 4.1 Measurement at an Event -- 4.2 Measurement of the Whole Campus -- 5 Conclusion -- References -- Analysis of Quote Retweets for COVID-19 State of Emergency Related Tweets Posted from Prefectural Governors' Accounts in Japan -- 1 Introduction -- 2 Related Studies -- 3 Analysis of Tweets -- 3.1 Governors' Accounts to Be Analyzed -- 3.2 Tweets Collection -- 3.3 Analysis of Quote Retweets of Governors' Tweets -- 4 Conclusions -- References -- Insights from the COVID-19 Pandemic for Systemic Risk Assessment and Management -- 1 Introduction -- 1.1 Have We Learnt Enough from COVID-19 to Manage New Pandemic Waves Better? -- 1.2 The Aim of This Paper and How It Is Organized -- 2 Characteristics of a Major Pandemic in the Globalization Era -- 3 Risks in the Light of Systemic Interdependencies -- 3.1 Adequate Risk Definition in the Presence of Dynamic Complexity -- 3.2 Quantitative Analysis of Qualitative Models of Systemic Risk -- 4 Order of Magnitude of Pandemic Cascading Effects -- 4.1 The Risk Systemicity Approach -- 4.2 Cascading Effects as Vicious Cycles -- 5 Discussion -- References. IT Use for Risk and Disaster Management -- Leveraging Geospatial Technology in Disaster Management -- 1 Introduction -- 1.1 Disaster Scenario -- 1.2 Geospatial Technology -- 1.3 Geospatial Technology Innovations in Disaster Management -- 2 Karnataka State Disaster Management Information System (KSDMIS) - A Geospatial Web Application for Collecting Data on Disaster Events -- 2.1 About Karnataka -- 2.2 Objectives of KSDMIS Application Software -- 2.3 Benefits of KSDMIS Application Software -- 2.4 KSDMIS Application Software Structure -- 2.5 Mobile Interface for Data Collection and Updation -- 2.6 Web Interface to the KSDMIS Application Software -- 2.7 Adopting Geospatial Technology in KSDMIS -- 3 Geospatial Enabled - District Disaster Management Plan - GEDDMP System -- 3.1 Operation Strategy -- 3.2 Continuous Data Updation -- 3.3 Benefits of Geospatial Enabled-DDMP System -- 3.4 Geospatial Technology for Different Phases of Disaster Management -- 3.5 Geospatial Enabled DDMP Application Software Structure -- 3.6 Core Technology of Geospatial-DDMP Application Software -- 3.7 Workflow -- 3.8 Features of Survey Template HOOKs -- 3.9 Roadmap and Futuristic View -- References -- Information Technologies for Assessing the Effectiveness of the Quarantine Measures -- 1 Importance of Quarantine Measures -- 2 Variety of Quarantine Measures -- 3 Application of Restrictive Measures and the Need to Assess Their Efficiency -- 4 Selection of Modelling Approach for Quarantine Measure Efficiency -- 5 Overview of Epidemiology Models -- 6 Model Description and Development of Software -- 7 Model Description and Software Development -- 8 Discussion of Modelling Results -- 9 Scope of Application and Further Improvement of the Simulation Tool -- 10 Comparison of Modeling Results -- 11 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910561294303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trends in Applied Knowledge-Based Systems and Data Science [[electronic resource] ] : 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings / / edited by Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu
| Trends in Applied Knowledge-Based Systems and Data Science [[electronic resource] ] : 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings / / edited by Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 1021 p. 371 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Data mining Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Algorithm Analysis and Problem Complexity Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-42007-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data science -- Knowledge base systems -- Natural language processing and sentiment analysis -- Semantic Web and social networks -- Computer vision.-Medical diagnosis system and bio-informatics -- Applied neural networks.-Innovations in intelligent systems and applications -- Decision support systems -- Adaptive control -- Soft computing and multi-agent systems.-Evolutionary algorithms and heuristic search -- System integration for real-life applications. . |
| Record Nr. | UNISA-996465688703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Trends in Applied Knowledge-Based Systems and Data Science : 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings / / edited by Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu
| Trends in Applied Knowledge-Based Systems and Data Science : 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings / / edited by Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XVIII, 1021 p. 371 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Algorithms Data mining Image processing—Digital techniques Computer vision Artificial Intelligence Computer and Information Systems Applications Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-42007-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data science -- Knowledge base systems -- Natural language processing and sentiment analysis -- Semantic Web and social networks -- Computer vision.-Medical diagnosis system and bio-informatics -- Applied neural networks.-Innovations in intelligent systems and applications -- Decision support systems -- Adaptive control -- Soft computing and multi-agent systems.-Evolutionary algorithms and heuristic search -- System integration for real-life applications. . |
| Record Nr. | UNINA-9910484805603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices [[electronic resource] ] : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki
| Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices [[electronic resource] ] : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVIII, 935 p. 644 illus., 272 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer organization Optical data processing Computer science—Mathematics Data protection Artificial Intelligence Information Systems and Communication Service Computer Systems Organization and Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Mathematics of Computing Security |
| ISBN | 3-030-55789-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural Language Processing -- Robotics and Drones -- Knowledge Based Systems -- Innovative Applications of Intelligent Systems -- Industrial Applications -- Networking Applications -- Social Network Analysis -- Financial Applications and Blockchain -- Medical and Health-related Applications -- Anomaly Detection and Automated Diagnosis -- Decision-Support and Agent-Based Systems -- Multimedia Applications -- Machine Learning -- Data Management and Data Clustering -- Pattern Mining -- System Control, Classification, and Fault Diagnosis. |
| Record Nr. | UNISA-996418319403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki
| Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices : 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings / / edited by Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVIII, 935 p. 644 illus., 272 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer organization Optical data processing Computer science—Mathematics Data protection Artificial Intelligence Information Systems and Communication Service Computer Systems Organization and Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Mathematics of Computing Security |
| ISBN | 3-030-55789-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Natural Language Processing -- Robotics and Drones -- Knowledge Based Systems -- Innovative Applications of Intelligent Systems -- Industrial Applications -- Networking Applications -- Social Network Analysis -- Financial Applications and Blockchain -- Medical and Health-related Applications -- Anomaly Detection and Automated Diagnosis -- Decision-Support and Agent-Based Systems -- Multimedia Applications -- Machine Learning -- Data Management and Data Clustering -- Pattern Mining -- System Control, Classification, and Fault Diagnosis. |
| Record Nr. | UNINA-9910427718903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||