 Название: Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Автор: Arun Lal Srivastav, Ashutosh Kumar Dubey, Abhishek Kumar
Издательство: Elsevier
Год: 2023
Страниц: 500
Язык: английский
Формат: pdf (true)
Размер: 31.1 MB
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
Скачать Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
|
Навигация
Вход на сайт
Реклама
Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence 
