Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer aided Artificial Intelligence and machine learning technologies as related to impacts of climate change and potential to prevent/remediate the effects. 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 and chances of improving and saving lives and creating a healthier world. These techniques are advancing and are being used in every field of science. Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence 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. Includes case studies on the application of AI and machine learning for monitoring climate change effects and management Features applications of software and algorithms for modeling and forecasting climate change Shows how real time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

• | Author: Arun Lal Srivastav, Ashutosh Kumar Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan
• | Publisher: Elsevier
• | Publication Date: Nov 16, 2022
• | Number of Pages: 498 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0323997147
• | ISBN-13: 9780323997140