Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
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61 084 Ft
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Product details:
- Publisher Elsevier
- Date of Publication 16 November 2022
- ISBN 9780323997140
- Binding Paperback
- No. of pages498 pages
- Size 234x190 mm
- Weight 450 g
- Language English 471
Categories
Long description:
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.
This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.
MoreTable of Contents:
1. Climate uncertainties and biodiversity: An overview
Rohit Kamboj
2. Historical perspectives on climate change and its negative impacts on the nature
Shama E. Haque
3. Impact of climate change on water quality and its assessment
Sunita Verma
4. Climate change impacts on water resources and adaptation strategies
Sukanya raghavan
5. Impact of Plastics in the Socio-economic disaster of Climate Change: The Roadblocks of Sustainability
Arnab Banerjee
6. Impression of Climatic Variation on Flora, Fauna and Human Being: A present State of Art
Dipankar Ghosh
7. Impact of air quality as a component of climate change on biodiversity-based ecosystem services
Sylvester Chibueze Izah
8. Role of Climate Change in disasters occurrences: Forecasting and Management options
Alok Pratap Singh
9. Forecasting and management of disasters triggered by climate change
Fatemeh Rajabi
10. El-Ni?o Southern Oscillation and its Effects
Sayantika Mukherjee
11. Impact of socio-economic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan Region
Pardeep Singh
12. Modelling and forecasting of climate change effects using artificial intelligence techniques
Rajib Maity
13. The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production
Richa Saxena
14. Application of Artificial Intelligence in Environmental Sustainability and Climate Change
Neeta Kumari
15. Machine learning approaches for climate change impact assessment in agriculture production
Swati Singh
16. Benchmarking of traditional and advanced machine Learning modelling techniques for prediction of solarradiation
Dwijendra Nath Dwivedi
17. Concept of climate smart villages using artificial intelligence/machine learning
Purnima Mehta
18. Significance of AI to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action)
Vijaya Ilango
19. A cross-sectional study about the impacts of climate change on the flora, fauna and human society of Odisha, India
Manojit Bhattacharya
20. Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability
Kartikey Sahil
21. Role of artificial intelligence in environmental sustainability.
Mohamed Habila
