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Artificial Intelligence and the Environmental Crisis [[electronic resource] ] : Can Technology Really Save the World?
| Artificial Intelligence and the Environmental Crisis [[electronic resource] ] : Can Technology Really Save the World? |
| Autore | Skene Keith <1965-> |
| Pubbl/distr/stampa | Milton, : Routledge, 2019 |
| Descrizione fisica | 1 online resource (277 pages) |
| Disciplina | 363.70028563 |
| Soggetto topico |
Artificial intelligence - Environmental applications
Artificial intelligence - Moral and ethical aspects Artificial intelligence - Social aspects Environmental sciences - Data processing Information storage and retrieval systems - Environmental protection Sustainability - Technological innovations |
| ISBN |
042961909X
0429621248 0429055676 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Section I: Artificial Intelligence and the Internet of Things -- I.1. Nothing new under the Sun -- I.2. Oh, for a nice cold soda: The birth of the internet of things -- I.3. The two-month, ten-man project to transform the world -- I.4. Getting to grips with the jargon: Symbolic and non-symbolic AI -- Section II: Should I stay or should I go? Ethics in AI -- II.1. Choosing an ethical framework -- II.2. The strange case of Asimov's laws -- II.3. Free will and moral judgement
II.4. The confused owl of Minerva: Dangers of a moral vacuum -- II.5. Who's in charge of the big bad wolf? -- II.6. What should a declaration of AI rights look like? -- Section III: Gender, Race, Culture and Fear -- III.1. Gender issues in AI -- III.2. Racial issues in AI -- III.3. Cultural issues in AI -- III.4. Fear and loathing in AI -- Section IV: The Thinker: Human Intelligence -- IV.1. Human intelligence: Carolus Linnaeus and his wise, wise men -- IV.2. So what is human intelligence? -- IV.3. Philosophy and intelligence: The framing of our thoughts Section V: Other Modes of Intelligence: Thinking Outside the Human Box -- V.1. Animal intelligence: Machiavellian sentience and the wisdom of the swarm -- V.2. Plant intelligence: Headless, brainless, dispersed intelligence -- V.3. Microbial intelligence: Gene-swapping revelry in the quorum -- V.4. Ecosystem intelligence: Systems thinking in the cathedral of thought -- V.5. Systems are non-linear -- V.6. Systems are emergent -- V.7. Systems are sub-optimal -- V.8. Systems rely of real-time feedback -- Section VI: Highway to Hell: The Existentialist Threat Facing Humankind VI.1. A brief history of our path towards destruction -- VI.2. The five clear road signs that point towards criticality -- VI.3. Why ecological damage matters to us -- VI.4. Adam Smith and his invisible hand -- VI.5. Kuznets and his curve: How ninety five percent speculation led us badly astray -- Section VII: Forget the Romans. What has AI ever done for us? -- VII.1. AI and economics: The best of things or the worst of things? -- VII.2. AI and society -- VII.3. AI and the environment -- VII.4. Technology and sustainability: Bellicose bedfellows or Romeo and Juliet? Section VIII: Imagining a New World -- VIII.1. The swallow whose nest was stolen: A salutary tale -- VIII.2. Blinded by the bling: Dashboard dogs and a disappearing sea -- VIII.3. What needs changed and what change do we need? -- VIII.4. The chains that bind: Taking responsibility for our footprints -- VIII.5. The Ogiek people and the new, improved invisible hand -- VIII.6. Lessons from the edge of the world: The St Kildan legacy -- VIII.7. The Garden of Eden complex: How not to fix the world -- VIII.8. The three cornerstones: Diversity, resilience and integration |
| Record Nr. | UNINA-9910793812003321 |
Skene Keith <1965->
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| Milton, : Routledge, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Applications for a Sustainable Environment / / edited by Mahmoud Nasr, Abdelazim Negm, Lai Peng
| Artificial Intelligence Applications for a Sustainable Environment / / edited by Mahmoud Nasr, Abdelazim Negm, Lai Peng |
| Autore | Nasr Mahmoud |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (650 pages) |
| Disciplina | 363.70028563 |
| Altri autori (Persone) |
NegmAbdelazim
PengLai |
| Collana | Green Chemistry and Sustainable Technology |
| Soggetto topico |
Environmental monitoring
Artificial intelligence Sustainability Pollution Environmental chemistry Refuse and refuse disposal Environmental Monitoring Artificial Intelligence Environmental Chemistry Waste Management/Waste Technology |
| ISBN | 3-031-91199-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI in Pollution Management -- 1. Internet of Things (IoT) and Environmental Monitoring: A Systematic Literature Review -- 2. Industrial Pollution Management in West Africa: NEEDS assessment for AI-enhanced monitoring and response systems -- 3. Enhancing Coastal Resilience: Current Innovations in AI-Driven Pollution Detection Systems and Feasibility for West African Marine Environments -- 4. An Assessment of the Applications and Prospects of AI Tools in Solid Waste Management -- 5. Green Intelligence for Sustainable Plastic Waste Management in Africa: A Comprehensive Framework for Policy Innovation, ICT Solutions, and Public‒Private Partnerships -- AI in Water and Wastewater Treatment -- 6. Application Bootstrap Machine Learnings for Modeling of Sonocatalytic Degradation of Caffeine in Wastewater Treatment -- 7. Structural Equation Modelling for identifying the determinants for adoption of household water treatment -- 8. Integrating Artificial Intelligence with Electrocoagulation for Sustainable Leachate Treatment: A Comparative Study of RSM and ANN for Pollutant Reduction -- AI in Sustainable Energy Solutions -- 9. Integrating Artificial Intelligence in CO2 Capture and Conversion Processes for Sustainable Energy Solutions -- 10. Integrating Hybrid AI Models for Improved PV Power Forecasting: A Path Towards Sustainable Energy -- 11. Role of artificial intelligence (AI) in sustainable biofuel production from lignocellulosic biomas -- 12. Leveraging Artificial Intelligence for Enhanced Efficiency and Sustainability in Geothermal Energy Systems -- AI in Environmental Monitoring and Prediction -- 13. Artificial Intelligence-Based Flood Mapping: A Case Study of El Tarf Governorate, Algeria -- 14. Predicting Soil Hydraulic Conductivity: A Review of Artificial Neural Networks Applications -- 15. Statistical AI Models for Environmental Sustainability: ARIMA, LSTM, and CNN-LSTM in Climate Prediction -- AI in Social and Environmental Sustainability -- 16. Artificial Intelligence in Social Work to Ensure Environmental Sustainability -- 17. Recommendations and concluding remarks for marinating circular and green economy by artificial intelligence. |
| Record Nr. | UNINA-9911034941303321 |
|
Nasr Mahmoud
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence for renewable energy systems / / edited by S. Balamurugan [and three others]
| Artificial intelligence for renewable energy systems / / edited by S. Balamurugan [and three others] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 363.70028563 |
| Collana | Artificial intelligence and soft computing for industrial transformation |
| Soggetto topico | Artificial intelligence - Engineering applications |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-76172-7
1-119-76168-9 1-119-76171-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555296003321 |
| Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial intelligence for renewable energy systems / / edited by S. Balamurugan [and three others]
| Artificial intelligence for renewable energy systems / / edited by S. Balamurugan [and three others] |
| Pubbl/distr/stampa | Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 363.70028563 |
| Collana | Artificial intelligence and soft computing for industrial transformation |
| Soggetto topico |
Renewable energy sources - Data processing
Artificial intelligence - Engineering applications |
| ISBN |
1-119-76172-7
1-119-76168-9 1-119-76171-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Analysis of Six-Phase Grid Connected Synchronous Generator in Wind Power Generation / Arif Iqbal, Girish Kumar Singh -- Artificial Intelligence as a Tool for Conservation and Efficient Utilization of Renewable Resource / N Vinay, Ajay Sudhir Bale, Subhashish Tiwari, Chithra R Baby -- Artificial Intelligence-Based Energy-Efficient Clustering and Routing in IoT-Assisted Wireless Sensor Network / Nitesh Chouhan -- Artificial Intelligence for Modeling and Optimization of the Biogas Production / Narendra Khatri, Kamal Kishore Khatri -- Battery State-of-Charge Modeling for Solar PV Array Using Polynomial Regression / Siddhi Vinayak Pandey, Jeet Patel, Harsh S Dhiman -- Deep Learning Algorithms for Wind Forecasting: An Overview / M Lydia, G Edwin Prem Kumar -- Deep Feature Selection for Wind Forecasting-I / C Ramakrishnan, S Sridhar, Kusumika Krori Dutta, R Karthick, C Janamejaya -- Deep Feature Selection for Wind Forecasting-II / S Oswalt Manoj, JP Ananth, Balan Dhanka, Maharaja Kamatchi -- Data Falsification Detection in AMI: A Secure Perspective Analysis / VV Vineeth, S Sophia -- Forecasting of Electricity Consumption for G20 Members Using Various Machine Learning Techniques / Jaymin Suhagiya, Deep Raval, Siddhi Vinayak Pandey, Jeet Patel, Ayushi Gupta, Akshay Srivastava -- Use of Artificial Intelligence (AI) in the Optimization of Production of Biodiesel Energy / Manvinder Singh Pahwa, Manish Dadhich, Jaskaran Singh Saini, Dinesh Kumar Saini -- Index -- Also of Interest |
| Record Nr. | UNINA-9910831039003321 |
| Hoboken, New Jersey ; ; Beverly, Massachusetts : , : Scrivener Publishing : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Techniques for a Scalable Energy Transition : Advanced Methods, Digital Technologies, Decision Support Tools, and Applications / / Moamar Sayed-Mouchaweh, editor
| Artificial Intelligence Techniques for a Scalable Energy Transition : Advanced Methods, Digital Technologies, Decision Support Tools, and Applications / / Moamar Sayed-Mouchaweh, editor |
| Pubbl/distr/stampa | Cham : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (383 pages) : illustrations |
| Disciplina | 363.70028563 |
| Soggetto topico |
Artificial intelligence - Engineering applications
Power resources - Data processing Electrical engineering Computational intelligence Artificial intelligence Data mining Big data Communications Engineering, Networks Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Big Data/Analytics |
| ISBN |
3-030-42726-9
9783030427269 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Definition, motivation and impact of digitalization in energy transition -- Definition of a general scheme (layers) of a digitalized system in energy transition -- Challenges of digitalization in energy transition -- Artificial Intelligence for energy transition -- General principals and classification of Artificial Intelligence techniques for energy transition -- Artificial Intelligence for Smart Energy Management -- Smart energy management (intrusive and non-intrusive load monitoring) -- Artificial Intelligence for Cyber Security and Privacy -- Artificial Intelligence for Mobility and Electrical Vehicles -- Mobility and electrical vehicles -- Artificial Intelligence for Micro Grid Operations and Dynamic Pricing Revenue Management -- Micro Grid operations and Dynamic Pricing Revenue Management -- Artificial Intelligence for Renewable Energy Penetration and Demand Side Management -- Renewable Energy Penetration and Demand Side Management -- Emerging Trends, Open problems, and Future Challenges -- Conclusion. |
| Record Nr. | UNINA-9910407726003321 |
| Cham : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part II / / edited by Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya
| Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part II / / edited by Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan, Sarjiya Sarjiya |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (388 pages) |
| Disciplina | 363.70028563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Artificial intelligence Business information services Computers, Special purpose Data mining Machine Learning Artificial Intelligence Business Information Systems Special Purpose and Application-Based Systems Data Mining and Knowledge Discovery |
| ISBN | 3-031-74741-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart Buildings and Energy Communities -- Under floor heating operation in NZEB buildings to better understand occupant’s comfort and reasons behind energy performance gap -- Building potential energy savings estimation through portfolio based modelling -- Year Round Appliance Electricity Monitoring of a Hybrid Ventilated Single Family Residence in Hyderabad -- Large Language Models for Fault Detection in Buildings HVAC Systems -- Investigations on Community Energy Sharing in Indian Residences -- Energy Pricing Trading and Market Dynamics -- Blockchain Enhanced Energy Trading in Smart Cities and Grids Advancements in Market Systems and Business Models -- Characterizing energy spot price data as a proxy for demand -- Revolutionizing Renewable Energy Markets A Cross chain Encrypted NFT and IPFS Decentralized Trading Framework -- Securing Renewable Energy Transactions Blockchain RSA Encrypted NFTs and IPFS Integration -- Demand Flexibility and Energy Conservation Strategies -- Impact of Demand Flexibility in Reducing Power Generation Costs for the Potential Future Energy Systems for Dubai -- Nurturing Youths for a Sustainable Future Empowering Energy Conservation through Education and Technology -- Recent Trends in Demand Side Flexibility -- Understanding Stakeholder Perspectives on Smart Home Technology Adoption A Case Study of Mumbai India -- Optimization of Energy Systems and Renewable Integration -- Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling -- Analytical solution for the cost optimal Electric Energy Storage size based on the Effective Energy Shift (EfES) algorithm -- Impact and Integration of Mini Photovoltaic Systems on Electric Power Distribution Grid -- Semi supervised state classification in distribution systems with graph neural networks -- Comparison of optimal reactive power dispatch methods in IEEE 30 bus system -- Comparison of Metaheuristic Techniques for Optimal Power Flow in Nordic Pricing Areas -- Battery Life Prediction Using Physics Based Modeling and Coati Optimization -- Energy System Resilience and Reliability -- Techno Economic Analysis of Hybrid Solar Photovoltaic and Microhydro Systems for Rural Areas of Tambrauw Indonesia -- Harnessing E Trucks as Mobile Microgrids Enhancing Community Health Clinics Resilience in Indonesia -- Three stage Planning of Networked Microgrids for Electrifcation of Indonesia Islands Considering Earthquake Scenarios -- A Resilient Control Framework for Enhancing Cyber Security in Microgrids. . |
| Record Nr. | UNINA-9910983383503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part I / / edited by Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma
| Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part I / / edited by Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (313 pages) |
| Disciplina | 363.70028563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-48649-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI Methods in Energy -- Data-Driven Smart Buildings -- Energy and Industry 4.0 -- Energy and Smart Cities -- Energy Forecasting -- Smart Electricity System -- Smart Energy Device Management -- Smart Heating and cooling System. . |
| Record Nr. | UNINA-9910767521103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part II / / edited by Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma
| Energy Informatics : Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6–8, 2023, Proceedings, Part II / / edited by Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva, Zheng Ma |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 363.70028563 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-48652-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI Methods in Energy -- Data-Driven Smart Buildings -- Energy and Industry 4.0 -- Energy and Smart Cities -- Energy Forecasting -- Smart Electricity System -- Smart Energy Device Management -- Smart Heating and cooling System. . |
| Record Nr. | UNINA-9910767520603321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Environmental issues of blasting : applications of artificial intelligence techniques / / Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi
| Environmental issues of blasting : applications of artificial intelligence techniques / / Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi |
| Autore | Bhatawdekar Ramesh M. |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (83 pages) |
| Disciplina | 363.70028563 |
| Collana | SpringerBriefs in applied sciences and technology |
| Soggetto topico | Artificial intelligence - Engineering applications |
| ISBN | 981-16-8237-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466735503316 |
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Bhatawdekar Ramesh M.
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Environmental Issues of Blasting : Applications of Artificial Intelligence Techniques / / by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi
| Environmental Issues of Blasting : Applications of Artificial Intelligence Techniques / / by Ramesh M. Bhatawdekar, Danial Jahed Armaghani, Aydin Azizi |
| Autore | Bhatawdekar Ramesh M. |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (83 pages) |
| Disciplina | 363.70028563 |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Geophysics
Engineering geology Machine learning Environmental management Computational intelligence Geotechnical engineering Geoengineering Machine Learning Environmental Management Computational Intelligence Geotechnical Engineering and Applied Earth Sciences |
| ISBN | 981-16-8237-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. An Overview of Blasting Operations and Possible Techniques to Solve Environmental Issues of Blasting -- 2. Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting -- 3. Applications of AI and ML Techniques to Predict Back-Break and Flyrock Distance Resulting from Blasting -- 4. Blast-Induced Air and Ground Vibrations: A Review of Soft Computing Techniques. |
| Record Nr. | UNINA-9910520070103321 |
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Bhatawdekar Ramesh M.
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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