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Co-evolution of standards in innovation systems : the dynamics of voluntary and legal building codes / / Stefan N. Grosser
| Co-evolution of standards in innovation systems : the dynamics of voluntary and legal building codes / / Stefan N. Grosser |
| Autore | Grosser Stefan N |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2012, c2013 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina | 005.8 |
| Collana | Contributions to management science |
| Soggetto topico |
Buildings - Energy conservation - Standards
Green technology - Technological innovations Sustainable development |
| ISBN |
1-283-93567-8
3-7908-2858-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Forewords -- Part I: Stage and Background.- Part II: Scientific Contributions.- Part III: Closing -- About the Author. |
| Record Nr. | UNINA-9910438085703321 |
Grosser Stefan N
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| Berlin ; ; New York, : Springer, 2012, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental technology and innovations / / editors, Vladimir Koc and Tom Ruml, University of Chemistry and Technology, Prague, Czech Republic, Phan Dao and Pham Anh Duc, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| Environmental technology and innovations / / editors, Vladimir Koc and Tom Ruml, University of Chemistry and Technology, Prague, Czech Republic, Phan Dao and Pham Anh Duc, Ton Duc Thang University, Ho Chi Minh City, Vietnam |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London : , : Taylor & Francis Group, , [2017] |
| Descrizione fisica | 1 online resource (350 pages) : illustrations |
| Disciplina | 628 |
| Collana | 3D photorealistic rendering |
| Soggetto topico |
Green technology
Green technology - Technological innovations |
| ISBN |
1-315-37499-4
1-315-34919-1 1-4987-8880-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote speeches -- Environmental engineering -- Clean energy and sustainability -- Water resources management -- Public health and environment. |
| Record Nr. | UNINA-9910155239903321 |
| London : , : Taylor & Francis Group, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The power of data : driving climate change with data science and artificial intelligence innovations / / edited by Aboul Ella Hassanien and Ashraf Darwish
| The power of data : driving climate change with data science and artificial intelligence innovations / / edited by Aboul Ella Hassanien and Ashraf Darwish |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (255 pages) |
| Disciplina | 060 |
| Collana | Studies in Big Data |
| Soggetto topico |
Artificial intelligence
Environmental protection - Data processing Green technology - Technological innovations |
| ISBN | 3-031-22456-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Artificial Intelligence in climate change Applications -- Chapter 1. Artificial Intelligence for Predicting Floods: A Climatic Change Phenomenon -- Chapter 2. Prediction of Climate Change Impact based on Air Flight CO2 Emissions Using Machine Learning: Towards Green Air Flights -- Chapter 3. The Impact of Artificial Intelligence on Waste Management for Climate Change -- Chapter 4. A Machine Learning-based Model for Predicting Temperature under the Effects of Climate Change -- Part 2: Emerging Technologies in Industry and Energy Sector -- Chapter 5. Prediction of CO2 Emission in Cars using Machine Learning Algorithms -- Chapter 6. Climate change: the challenge of Tunisia and previsions for renewable energy production -- Chapter 7. Clean Energy Management based on Internet of Things and Sensor Networks for Climate Change Problems -- Chapter 8. Digital Twin Technology for Energy Management Systems to Tackle Climate Change Challenges -- Chapter 9. The Role of Internet of Things in Mitigating the Effect of Climate Change: Case study: An ozone prediction model -- Part 3: Emerging Climate Change Technology in Agriculture Sector -- Chapter 10. Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties -- Chapter 11. An Intelligent Crop Recommendation Model for the Three Strategic Crops in Egypt based on Climate Change Data -- Chapter 12. Cost Effective Decision Support System for Smart Water Management System -- Chapter 13. The Role of Artificial Intelligence in Water Management in Agriculture for Climate Change Impacts -- Part 4: Emerging Climate Change Technologies in Healthcare Sector -- Chapter 14. The Influence of Climate Change on the Re-Emergence of Malaria Using Artificial Intelligence. |
| Record Nr. | UNINA-9910682591903321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The power of data : driving climate change with data science and artificial intelligence innovations / / edited by Aboul Ella Hassanien and Ashraf Darwish
| The power of data : driving climate change with data science and artificial intelligence innovations / / edited by Aboul Ella Hassanien and Ashraf Darwish |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (255 pages) |
| Disciplina | 060 |
| Collana | Studies in Big Data |
| Soggetto topico |
Artificial intelligence
Environmental protection - Data processing Green technology - Technological innovations |
| ISBN | 3-031-22456-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Artificial Intelligence in climate change Applications -- Chapter 1. Artificial Intelligence for Predicting Floods: A Climatic Change Phenomenon -- Chapter 2. Prediction of Climate Change Impact based on Air Flight CO2 Emissions Using Machine Learning: Towards Green Air Flights -- Chapter 3. The Impact of Artificial Intelligence on Waste Management for Climate Change -- Chapter 4. A Machine Learning-based Model for Predicting Temperature under the Effects of Climate Change -- Part 2: Emerging Technologies in Industry and Energy Sector -- Chapter 5. Prediction of CO2 Emission in Cars using Machine Learning Algorithms -- Chapter 6. Climate change: the challenge of Tunisia and previsions for renewable energy production -- Chapter 7. Clean Energy Management based on Internet of Things and Sensor Networks for Climate Change Problems -- Chapter 8. Digital Twin Technology for Energy Management Systems to Tackle Climate Change Challenges -- Chapter 9. The Role of Internet of Things in Mitigating the Effect of Climate Change: Case study: An ozone prediction model -- Part 3: Emerging Climate Change Technology in Agriculture Sector -- Chapter 10. Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties Optimized Multi-Kernel Predictive Model for the Crop Prediction with Climate Factors and Soil Properties -- Chapter 11. An Intelligent Crop Recommendation Model for the Three Strategic Crops in Egypt based on Climate Change Data -- Chapter 12. Cost Effective Decision Support System for Smart Water Management System -- Chapter 13. The Role of Artificial Intelligence in Water Management in Agriculture for Climate Change Impacts -- Part 4: Emerging Climate Change Technologies in Healthcare Sector -- Chapter 14. The Influence of Climate Change on the Re-Emergence of Malaria Using Artificial Intelligence. |
| Record Nr. | UNISA-996547968103316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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