Visualization Techniques For Climate Change With Machine Learning And Artificial Intelligence

Download Visualization Techniques For Climate Change With Machine Learning And Artificial Intelligence full books in PDF, epub, and Kindle. Read online free Visualization Techniques For Climate Change With Machine Learning And Artificial Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Author :
Publisher : Elsevier
Total Pages : 500
Release :
ISBN-10 : 9780323997157
ISBN-13 : 0323997155
Rating : 4/5 (155 Downloads)

Book Synopsis Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence by : Ashutosh Kumar Dubey

Download or read book Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence written by Ashutosh Kumar Dubey and published by Elsevier. This book was released on 2022-11-11 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence Related Books

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
Language: en
Pages: 500
Authors: Ashutosh Kumar Dubey
Categories: Science
Type: BOOK - Published: 2022-11-11 - Publisher: Elsevier

DOWNLOAD EBOOK

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning
Digital Transformation, Artificial Intelligence and Society
Language: en
Pages: 218
Authors: Sachin Kumar (Computer scientist)
Categories: Artificial intelligence
Type: BOOK - Published: 2024 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies
Communication and Intelligent Systems
Language: en
Pages: 462
Authors: Harish Sharma
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Towards Ethical and Socially Responsible Explainable AI
Language: en
Pages: 381
Authors: Mohammad Amir Khusru Akhtar
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Artificial Intelligence Techniques for Sustainable Development
Language: en
Pages: 463
Authors: Deepika Ghai
Categories: Technology & Engineering
Type: BOOK - Published: 2024-12-19 - Publisher: CRC Press

DOWNLOAD EBOOK

How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions?