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1. |
Record Nr. |
UNINA9910733574803321 |
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Autore |
Calogero, Guido |
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Titolo |
Studi crociani / G. Calogero, D. Petrini |
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Pubbl/distr/stampa |
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Rieti, : Bibliotheca editrice, stampa 1930 |
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Descrizione fisica |
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Collana |
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Altri autori (Persone) |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910806121903321 |
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Autore |
Andeweg Agnes |
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Titolo |
Griezelig Gewoon [[electronic resource] ] : Gotieke verschijningen in Nederlandse romans, 1980-1995 / / Agnes Andeweg |
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Pubbl/distr/stampa |
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Amsterdam, : Amsterdam University Press, 2011 |
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ISBN |
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1-283-23175-1 |
9786613231758 |
90-485-1376-6 |
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Descrizione fisica |
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1 online resource (226 p.) |
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Disciplina |
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Soggetti |
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Dutch fiction - 20th century - History and criticism |
Gothic revival (Literature) - Netherlands |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Inleiding: het gotieke lezen; Het spook van de homoseksualiteit; |
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Bezitten en bezeten worden; Bij hoog en bij laag; De gotieke stemmen van Renate Dorrestein; Het verlangen naar verlangen; 'Seeing things'; Noten; Bibliografie; Namenregister; Dankwoord |
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Sommario/riassunto |
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Hedendaagse Nederlandse auteurs putten naar hartenlust uit het repertoire van de 'gothic novel'. In dit boek analyseert Agnes Andeweg zes gotieke romans van auteurs als Frans Kellendonk, Gerard Reve, Thomas Rosenboom en Renate Dorrestein. Deze romans laten zich lezen als een commentaar op de moderniseringen van de Nederlandse samenleving in de jaren zestig en zeventig. Op grond van deze analyses kan het bestaande beeld van de Nederlandse roman in de jaren tachtig bijgesteld worden. Literatuur uit die periode is wel beschuldigd van een gebrek aan engagement. Gelezen door de lens van het gotieke |
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3. |
Record Nr. |
UNINA9910627259203321 |
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Autore |
Sharma Neha (Of Tufts University. School of Medicine) |
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Titolo |
Towards Net-Zero Targets : Usage of Data Science for Long-Term Sustainability Pathways / / by Neha Sharma, Prithwis Kumar De |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (258 pages) |
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Collana |
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Advances in Sustainability Science and Technology, , 2662-6837 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Sustainability |
Artificial intelligence |
Artificial intelligence - Data processing |
Machine learning |
Computational Intelligence |
Artificial Intelligence |
Data Science |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Climate Change and AI in the Financial, Energy, Domestic and Transport Sectors -- Chapter 2. Role of Banking Sector in Climate Change – Literature Review and Data Preparation -- Chapter 3. Application of Machine Learning to Predict Climate Change Consequences due to Investments by Banks in Fossil Fuel Sectors -- Chapter 4. Effect of Non-Renewable Energy Sources on Climate Change in India- Literature Review and Data Preparation -- Chapter 5. Using Machine Learning to Predict the Effect of Non-Renewable Energy Sources on Climate Change in India -- Chapter 6. Impact of Household Emissions on Climate Change in India – Literature Review and Data Preparation -- Chapter 7. Use of Unsupervised Learning Algorithms to Segment Indian States based on Primary Energy Household Emissions -- Chapter 8. Application of Machine Learning in Climate Change for Transport Sector – Literature Review and Data Preparation -- Chapter 9. Application of Machine Learning to Predict CO2 Emission from Transport Sector to Mitigate Climate Change -- Chapter 10. Carbon Emission Calculator: Impact of AI on Climate Change. |
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Sommario/riassunto |
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This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation. |
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