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2021 international conference on big data analytics for cyber-physical system in smart city . Volume 1 / / Mohammed Atiquzzaman, Neil Yen, Zheng Xu
| 2021 international conference on big data analytics for cyber-physical system in smart city . Volume 1 / / Mohammed Atiquzzaman, Neil Yen, Zheng Xu |
| Autore | Atiquzzaman Mohammed |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (1314 pages) |
| Disciplina | 005.8 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Big data - Security measures
Big data - Social aspects |
| ISBN |
981-16-7466-3
981-16-7465-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Preface -- Conference Program -- BDCPS 2021 Keynotes -- Contents -- Data Mining and Statistical Modelling for Smart City -- Application of Intelligent Ant Colony Algorithm in Rural Logistics Intelligent Distribution Route Planning -- 1 Introduction -- 2 Application of Swarm Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 2.1 Rural Logistics and Distribution Problems -- 2.2 Problem of Logistics Distribution Path -- 2.3 IACA -- 3 Experimental Research on Group Intelligence Algorithm in Logistics Distribution Path Planning Under the Background of Rural Revitalization -- 3.1 Swarm Intelligence Algorithm Structure Framework -- 4 Experimental Analysis of Group Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 4.1 Analysis of the Average Solution of CGA and IACA -- 4.2 Comparison of IACA with Other Algorithms -- 5 Conclusion -- References -- Sustainable Competitive Advantages of Chinese Online Travel Agents by RBV Model: A Data Based Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Industrial Analysis -- 2.2 RBV and Competitive Advantage -- 3 Methodology -- 3.1 Data Collection Method -- 3.2 Sample -- 3.3 Data Analysis Method -- 4 Result -- 4.1 Reliability Analysis -- 4.2 Validity Analysis -- 4.3 Variable Descriptive -- 4.4 Regression Analysis -- 5 Discussion -- 5.1 Digital Marketing -- 5.2 Cost Leadership -- 5.3 Payment Mode -- 5.4 Service Responsiveness -- 5.5 Product Variety -- 6 Conclusion -- References -- Kinematics Analysis of Aerobics Movement Decomposition Based on Multi-target Video Tracking Algorithm -- 1 Introduction -- 2 Multi-target Video Tracking Algorithm and Aerobics Movement Decomposition Kinematics Research.
2.1 Feasibility Analysis of Multi-sport Target Video Tracking Application Aerobics Movement Decomposition Kinematics -- 2.2 Multi-moving Target Video Tracking Algorithm -- 3 Kinematics Experiment of Calisthenics Action Decomposition Based on Multi-sport Target Video Tracking Algorithm -- 3.1 Experimental Design -- 3.2 Experimental Procedure -- 3.3 Data Processing -- 4 Result Analysis -- 4.1 Analysis of Angle Parameters of Lower Limb Joints -- 4.2 Kinematics Analysis of Trunk Movement Links -- 5 Conclusions -- References -- Color Network System of Folk Painting Based on Fractal Algorithm Theory -- 1 Introduction -- 2 Theoretical Research on the Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 2.1 Basic Knowledge of Fractal Theory -- 2.2 Software Development Platform -- 2.3 Software Implementation Model -- 3 The Realization of Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 3.1 System Experiment Content -- 3.2 Process of Color Network System -- 4 Experimental Data Analysis of Folk Painting Color Network System Based on Fractal Algorithm Theory -- 4.1 System Equipment Data Analysis -- 4.2 Comparative Analysis of the Color Reproduction Process -- 5 Conclusion -- References -- Design of College Teaching Quality Evaluation Based on Apriori Algorithm -- 1 Introduction -- 2 Theoretical Research on the Design of University TQES Based on Apriori Algorithm -- 2.1 Evaluation Standard of Teaching Quality in Colleges and Universities -- 2.2 Discussion on the Requirements of TQES in Colleges and Universities -- 2.3 System Design of University TQES Based on Apriori Algorithm -- 3 Implementation of TQES Based on Apriori Algorithm -- 3.1 System Operation Environment -- 3.2 System Function Realization -- 4 Test of TQES Based on Apriori Algorithm -- 4.1 Software Testing -- 4.2 System Test -- 5 Conclusion -- References. Panal Data Analysis on the Environmental Effects of Global Value Chains: Based on the Empirical Study of Chinese Industrial Panel Data -- 1 Introduction -- 2 Analysis of the Affecting Mechanism of Global Value Chain on Environment -- 2.1 Scale Effect -- 2.2 Composition Effect -- 2.3 Technique Effect -- 3 Model Establishment -- 4 Empirical Analysis Results -- 4.1 Data Source and Processing -- 4.2 Econometric Analysis Results and Their Economic Connotations -- 5 Conclusions -- References -- The Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 1 Introduction -- 2 Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 2.1 PI Control Algorithm -- 2.2 Improved Sliding Mode Control Algorithm -- 2.3 Improved ADRC Algorithm -- 2.4 Software and Hardware Design of PMSM Servo Control System Based on Algorithm Fusion -- 3 Experimental Simulation -- 3.1 Servo System Current Simulation -- 3.2 Speed Simulation of Servo System -- 3.3 Position Simulation of Servo System -- 4 Result Analysis -- 4.1 Analysis of Current Simulation Results of Servo System -- 4.2 Speed Simulation Results Analysis of Servo System -- 5 Conclusion -- References -- Path of Data Mining and Analysis Technology in New Energy Vehicle Business Model Innovation -- 1 Introduction -- 2 Data Mining Analysis Technology and New Energy Vehicle Business Model -- 2.1 Data Mining Analysis Technology -- 2.2 Current Business Model of New Energy Vehicles -- 2.3 The Basic Principle and Process of Cluster Analysis -- 3 Application Experiment of Data Mining Analysis Technology in the Innovation Path of New Energy Vehicle Business Model -- 3.1 Experimental Background -- 3.2 Experimental Method -- 3.3 Experimental Results -- 4 Analysis and Discussion of Experimental Results. 4.1 Distribution of Traditional Business Models of Enterprises When Data Mining Technology is not Used -- 4.2 Research on the Path of Business Model Innovation for New Energy Automobile Companies Using Data Mining Technology -- 4.3 Problems Encountered During Use -- 5 Conclusions -- References -- Data Analysis and Application of Resource Search Algorithm in Basic Education Fairness -- 1 Introduction -- 2 Methods -- 2.1 Characteristics of P2P Network -- 2.2 Classical Resource Search Algorithm -- 2.3 The Impact of Injustice in Basic Education -- 3 Experiment -- 3.1 Data Sources -- 3.2 Algorithm Description -- 4 Discussion -- 4.1 Education Funding -- 4.2 Differences in Faculty -- 4.3 Targeted Suggestions -- 5 Conclusions -- References -- The Construction of the Influence Model of Artistic Creativity Based on AMOS Data Analysis -- 1 Research Motivation -- 2 Literature Review -- 3 Research Methods, Procedures and Assumptions -- 3.1 Research Structure -- 3.2 Research Hypothesis -- 3.3 Research Object -- 3.4 Research Tool -- 4 Analysis of Results -- 4.1 The Effect Verification of the Direct Effect of Innovation Atmosphere on Artistic Creativity -- 4.2 The Direct Effect of the Innovation Atmosphere on the Flow State and the Direct Effect of the Flow State on the Artistic Creativity -- 4.3 Mediation of Flow State -- 5 Conclusion and Suggestion -- 5.1 Innovation Atmosphere Has a Significant Positive Impact on Artistic Creativity -- 5.2 The Atmosphere of Organizational Innovation Has a Positive Impact on the State of Flow -- 5.3 Flow State Has a Positive Impact on Artistic Creativity -- 5.4 Flow State Plays a Completely Mediating Role in the Influence of Innovation Atmosphere on Artistic Creativity -- References -- The Construction of Mental Health Prediction Model Based on Data Mining Technology -- 1 Introductions. 2 Research on Mental Health Status and Data Mining Technology -- 2.1 Factors Affecting Mental Health -- 2.2 Data Mining -- 2.3 Predictive Analysis Algorithm -- 3 Construction of Mental Health Prediction Model Based on Data Mining Technology -- 3.1 Data Source -- 3.2 Evaluation Index -- 3.3 Prediction Steps -- 3.4 The Order of the Degree of Influence of the Independent Variable Factors on the Dependent Variable -- 3.5 Prediction Model Establishment -- 4 Detection of Predictive Models -- 5 Conclusions -- References -- Influence of Big Data Statistical Analysis Technology on Informational Learning Mode -- 1 Introduction -- 2 Educational Informatization and Talent Training Mode in the Information Environment -- 2.1 Information Technology Environment -- 2.2 Reform of Talent Training Mode Under the Information Environment -- 3 Teaching Experiment of Talent Training Model in Informatization Mode -- 3.1 Effect Inspection Method -- 3.2 Experimental Subject -- 3.3 Knowledge Level Test Paper -- 3.4 Data Statistics -- 4 Teaching Experimental Results of Talent Training Model in Information Mode -- 4.1 Comparison of Previous Two Groups -- 4.2 Comparison of Two Groups After Implementation -- 5 Conclusions -- References -- 3D Jewelry Design System Based on K-means Algorithm -- 1 Introduction -- 2 Jewelry 3D Design System Based on K-means Algorithm -- 2.1 Basic Principles of 3D Technology -- 2.2 Advantages of K-means Algorithm Application in Jewelry Design -- 2.3 3D Model Detail Optimization -- 3 Experiment -- 3.1 Interface Design -- 3.2 Login Module -- 3.3 Jewelry Attribute Selection Module -- 4 Discussion -- 5 Conclusions -- References -- The Development of Internet Plus Tourism Mode Based on Data Mining Technology -- 1 Introduction -- 2 The Development of IPT Based on DMT -- 2.1 IPT Development -- 2.2 IPT New Mode of Future Development Countermeasures. 2.3 Related Analysis of DMT. |
| Record Nr. | UNINA-9910743258103321 |
Atiquzzaman Mohammed
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analytics stories : how to make good things happen / / Wayne Winston
| Analytics stories : how to make good things happen / / Wayne Winston |
| Autore | Winston Wayne |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley and Sons, , [2020] |
| Descrizione fisica | 1 online resource (527 pages) : illustrations |
| Disciplina | 005.7 |
| Soggetto topico | Big data - Social aspects |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-64605-7
1-119-64604-9 1-119-64606-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555119103321 |
|
Winston Wayne
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| Indianapolis, Indiana : , : John Wiley and Sons, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analytics stories : using data to make good things happen / / Wayne Winston
| Analytics stories : using data to make good things happen / / Wayne Winston |
| Autore | Winston Wayne |
| Pubbl/distr/stampa | Indianapolis, Indiana : , : John Wiley and Sons, , [2020] |
| Descrizione fisica | 1 online resource (527 pages) : illustrations |
| Disciplina | 005.7 |
| Soggetto topico | Big data - Social aspects |
| ISBN |
1-119-64605-7
1-119-64604-9 1-119-64606-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910677615903321 |
|
Winston Wayne
|
||
| Indianapolis, Indiana : , : John Wiley and Sons, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analytics stories : using data to make good things happen / / Wayne Winston
| Analytics stories : using data to make good things happen / / Wayne Winston |
| Pubbl/distr/stampa | Indianapolis, Ind., : Wiley, 2021 |
| Descrizione fisica | 1 online resource (xxix, 494 p.) : ill |
| Disciplina | 005.7 |
| Soggetto topico | Big data - Social aspects |
| ISBN |
9781119646068 (e-book)
9781119646037 (pbk.) 1-119-64605-7 1-119-64604-9 1-119-64606-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. What Happened? -- 1. Preliminaries -- 2. Was the 1969 Draft Lottery Fair? -- 3. Who Won the 2000 Election: Bush or Gore? -- 4. Was Liverpool Over Barcelona the Greatest Upset in Sports History? -- 5. How Did Bernie Madoff Keep His Fund Going? -- 6. Is the Lot of the American Worker Improving? -- 7. Measuring Income Inequality with the Gini, Palm, and Atkinson Indices -- 8. Modeling Relationships Between Two Variables -- 9. Intergenerational Mobility -- 10. Is Anderson Elementary School a Bad School? -- 11. Value-Added Assessments of Teacher Effectiveness -- 12. Berkeley, Buses, Cars, and Planes -- 13. Is Carmelo Anthony a Hall of Famer? -- 14. Was Derek Jeter a great fielder? -- 15. "Drive for show and putt for dough?" -- 16. What's wrong with the NFL QB rating? -- 17. Some sports have all the luck -- 18. Gerrymandering -- 19. Evidence-based medicine -- 20. How do we compare hospitals? -- 21. What is the worst health care problem in my country? -- Part II. What will happen? -- 22. Does a mutual fund's past performance predict future performance? -- 23. Is Vegas good a picking NFL games? -- 24. Will my new hires be good employees? -- 25. Should I go to State U or Princeton? -- 26. Will my favorite sports team be great next year? -- 27. How did central bankers fail to predict the 2008 recession? -- 28. How does Target know if you're pregnant? -- 29. How does Netflix recommend movies and TV shows? -- 30. Can we predict heart attacks in real time? -- 31. Is proactive policing effective? -- 32. Guess how many are coming to dinner? -- 33. Can prediction markets predict the future? -- 34. The ABCs of polling -- 35. How did Buzzfeed make the dress go viral? -- 36. Predicting Game of Thrones TV ratings -- Part III. Why did it happened? -- 37. Does smoking cause lung cancer? -- 38. Why are the Houston rockets a good basketball team? -- 39. Why have sacrifice bunts and intentional walks nearly disappeared? -- 40. Do NFL teams pass too much and go for it often enough on fourth down -- 41. What caused the 1854 London cholera outbreak? -- 42. What affects the sales of a retail product? -- 43. Why does the Pareto Principle explain so many things? -- 44. Does where you grow up matter? -- 45. The waiting is the hardest part -- 46. Are roundabouts a good idea? -- 47. Red light, green light, or no light? -- Part IV. How do I make good things happen? -- 48. How can we improve K-12 education? -- 49. Can A/B testing improve my website's performance? -- 50. How should I allocate my retirement portfolio? -- 51. How do hedge funds work? -- 52. How much should we order and when should we order? -- 53. How does the UPS driver know the order to deliver packages? -- 54. Can data win a Presidential election? -- 55. Can analytics save our republic? -- 56. Why do I pay too much on eBay? -- 57. Can analytics recognize, predict, or write a hit song? -- 58. Can an algorithm improve parole decisions? -- 59 How do baseball teams decide where to shift fielders? -- 60. Did analytics help the Mavericks win the 2011 NBA title? -- 61. Who gets the house in the Hampton's? -- Index. |
| Record Nr. | UNINA-9910819993603321 |
| Indianapolis, Ind., : Wiley, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau
| Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau |
| Autore | Caseau Yves |
| Pubbl/distr/stampa | Les Ullis Cedex A, France : , : EDP Sciences, , 2015 |
| Descrizione fisica | 1 online resource (61 pages) |
| Disciplina | 300.72 |
| Collana | Académie des technologies |
| Soggetto topico | Big data - Social aspects |
| Soggetto genere / forma | Electronic books. |
| ISBN | 2-7598-2024-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto | Frontmatter -- RÉSUMÉ -- SOMMAIRE -- Introduction -- La genèse du « Big Data » -- 13 Trois ruptures de paradigme -- 25 Écosystème du Big Data : menaces et opportunités pour la France -- Conclusions -- Membres du groupe de travail Big Data -- Remerciements -- Glossaire -- Références -- Publications de l’Académie |
| Record Nr. | UNINA-9910465750703321 |
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Caseau Yves
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| Les Ullis Cedex A, France : , : EDP Sciences, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau
| Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau |
| Autore | Caseau Yves |
| Pubbl/distr/stampa | Les Ullis Cedex A, France : , : EDP Sciences, , 2015 |
| Descrizione fisica | 1 online resource (61 pages) |
| Disciplina | 300.72 |
| Collana | Académie des technologies |
| Soggetto topico | Big data - Social aspects |
| ISBN | 2-7598-2024-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto | Frontmatter -- RÉSUMÉ -- SOMMAIRE -- Introduction -- La genèse du « Big Data » -- 13 Trois ruptures de paradigme -- 25 Écosystème du Big Data : menaces et opportunités pour la France -- Conclusions -- Membres du groupe de travail Big Data -- Remerciements -- Glossaire -- Références -- Publications de l’Académie |
| Record Nr. | UNINA-9910798451803321 |
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Caseau Yves
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| Les Ullis Cedex A, France : , : EDP Sciences, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau
| Big Data : un Changement de Paradigme Peut en Cacher un Autre / / Academie des technologies ; rapporteur, Yves Caseau |
| Autore | Caseau Yves |
| Pubbl/distr/stampa | Les Ullis Cedex A, France : , : EDP Sciences, , 2015 |
| Descrizione fisica | 1 online resource (61 pages) |
| Disciplina | 300.72 |
| Collana | Académie des technologies |
| Soggetto topico | Big data - Social aspects |
| ISBN | 2-7598-2024-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto | Frontmatter -- RÉSUMÉ -- SOMMAIRE -- Introduction -- La genèse du « Big Data » -- 13 Trois ruptures de paradigme -- 25 Écosystème du Big Data : menaces et opportunités pour la France -- Conclusions -- Membres du groupe de travail Big Data -- Remerciements -- Glossaire -- Références -- Publications de l’Académie |
| Record Nr. | UNINA-9910807853503321 |
|
Caseau Yves
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| Les Ullis Cedex A, France : , : EDP Sciences, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data & society
| Big data & society |
| Pubbl/distr/stampa | London : , : SAGE Publications, , 2014- |
| Descrizione fisica | 1 online resource |
| Soggetto topico | Big data - Social aspects |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
BD & S
Big data and society |
| Record Nr. | UNISA-996250823603316 |
| London : , : SAGE Publications, , 2014- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big data & society
| Big data & society |
| Pubbl/distr/stampa | London : , : SAGE Publications, , 2014- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Big data - Social aspects
Mineria de dades |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
BD & S
Big data and society |
| Record Nr. | UNINA-9910132535603321 |
| London : , : SAGE Publications, , 2014- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data analytics for smart urban systems / / Saeid Pourroostaei Ardakani, Ali Cheshmehzangi
| Big data analytics for smart urban systems / / Saeid Pourroostaei Ardakani, Ali Cheshmehzangi |
| Autore | Pourroostaei Ardakani Saeid |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (143 pages) |
| Disciplina | 304.2 |
| Altri autori (Persone) | CheshmehzangiAli |
| Collana | Urban Sustainability |
| Soggetto topico |
Big data - Economic aspects
Big data - Social aspects Cities and towns - Data processing Smart cities - Data processing |
| ISBN | 981-9955-43-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction and editorial to the book -- Part 1. Big Data and Healthcare applications -- Chapter 2. The Correlation of Vaccination Progress and World- Wide immunity against COVID-19 -- Chapter 3. A Big Data Solution for Healthcare Infrastructure Development and the COVID-19 Prevention -- Chapter 4. A Federated Regression Analysis on Worldwide Mobility Trends During COVID-19 Early Stage -- Part 2. Big Data Solutions for Transportation Management -- Chapter 5. A Big Data approach for predicting Urban Transportation Cost -- Chapter 6. An Optimised Big Data Enabled Classification for Flight Status -- Chapter 7. A Time-series Classification of Freight Transport Data -- Part 3. Big Data Analysis Applications in Economy -- Chapter 8. A Multi-level Classification for Electronic Device Price -- Chapter 9. An Adaptive Feature Selection for Google App rating using Big Data solutions -- Chapter 10. A Time-series Pattern for Stock Market Prediction -- Part 4. Big Data Applications for Social Networks -- Chapter 11. An Optimized Clustering Model for Healthcare Sentiments on Twitter -- Chapter 12. How COVID-19 Pandemic Influences Social Networks? -- Chapter 13. Google Store’s User Feedback Mining -- Part 5 -- Big Data Applications for Urban Environment Planning -- Chapter 14. Analysis of the Impact of Green Infrastructure on Carbon Monoxide Reduction -- Chapter 15. Big Data Analysis for UAV itinerary planning in Multi-Dimension Environments -- Chapter 16. Big Data Enabled Smart Home Applications a Carbon-zero World -- Chapter 17. Conclusions on Big Data Applications for contemporary and future urban sustainability research and practice. |
| Record Nr. | UNINA-9910768443303321 |
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Pourroostaei Ardakani Saeid
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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