You might also like

More about Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

• Book details
• Synopsis
• Trending among others

You get 502 loyalty points

Book synopsis

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

Book details

Book category Books in English Mathematics & science Biology, life sciences Life sciences: general issues

• Full title: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
• Author: Arun Lal Srivastav, Ashutosh Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan
• Language: English
• Binding: Paperback
• Number of pages: 498
• EAN: 9780323997140
• ID: 39120742
• Publisher: Elsevier - Health Sciences Division
• Weight: 1046 g
• Dimensions: 191 × 236 × 29 mm
• Date of publishing: 16. November 2022

Trending among others

---

---

---