Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence 1st Edition

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780323997140,0323997147,9780323997157, 0323997155

Product details:

• ISBN-10: 0323997155
• ISBN-13: 9780323997157
• Author: Arun Srivastav; Ashutosh Dubey; Abhishek Kumar; Sushil Kumar Narang; Moonis Ali Khan

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.

Table contents:

Chapter 1 Climate uncertainties and biodiversity: An overview

Chapter 2 Historical perspectives on climate change and its influence on nature

Chapter 3 Impact of climate change on water quality and its assessment

Chapter 4 Climate change impacts on water resources: An overview

Chapter 5 Impact of plastics in the socio-economic disaster of pollution and climate change: The roadblocks of sustainability in India

Chapter 6 Impression of climatic variation on flora, fauna, and human being: A present state of art

Chapter 7 Impact of air quality as a component of climate change on biodiversity-based ecosystem services

Chapter 8 Role of climate change in disasters occurrences: Forecasting and management options

Chapter 9 Forecasting and management of disasters triggered by climate change

Chapter 10 El-Niño Southern Oscillation and its effects

Chapter 11 Impact of socioeconomic parameters on adoption of climate resilient technology under varying vulnerability conditions: Evidences from Himalayan region

Chapter 12 Artificial intelligence/machine learning techniques in hydroclimatology: A demonstration of deep learning for future assessment of stream flow under climate change

Chapter 13 The role of artificial intelligence strategies to mitigate abiotic stress and climate change in crop production

Chapter 14 Application of artificial intelligence in environmental sustainability and climate change

Chapter 15 Machine learning approach for climate change impact assessment in agricultural production

Chapter 16 Climate change: Prediction of solar radiation using advanced machine learning techniques

Chapter 17 Concept of climate smart villages using artificial intelligence/machine learning

Chapter 18 Significance of artificial intelligence to develop mitigation strategies against climate change in accordance with sustainable development goal (climate action)

Chapter 19 A cross-sectional study about the impacts of climate change on living organisms: A case study of Odisha province of India

Chapter 20 Development of mitigation strategies for the climate change using artificial intelligence to attain sustainability

Chapter 21 Role of artificial intelligence in environmental sustainability

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