vbid/9780323997157

$165.00

Author(s): Arun Srivastav; Ashutosh Dubey; Abhishek Kumar; Sushil Kumar Narang; Moonis Ali Khan
Publisher: Elsevier (S&T)
ISBN: 9780323997140
Edition: 1st Edition

Category:

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.

  • 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

Typham this is the title: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence 1st Edition

Reviews

There are no reviews yet.

Be the first to review “vbid/9780323997157”

Your email address will not be published. Required fields are marked *