Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

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Publisher : Elsevier
ISBN 13 : 0323997155
Total Pages : 500 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence by : Arun Lal Srivastav

Download or read book Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence written by Arun Lal Srivastav 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

The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations

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Author :
Publisher : Springer Nature
ISBN 13 : 3031224566
Total Pages : 255 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations by : Aboul Ella Hassanien

Download or read book The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2023-03-11 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.

Clouds and Climate

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Publisher : Cambridge University Press
ISBN 13 : 1107061075
Total Pages : 421 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Clouds and Climate by : A. Pier Siebesma

Download or read book Clouds and Climate written by A. Pier Siebesma and published by Cambridge University Press. This book was released on 2020-08-20 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.

Communication and Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9819720796
Total Pages : 462 pages
Book Rating : 4.98/5 ( download)

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Book Synopsis Communication and Intelligent Systems by : Harish Sharma

Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Enabled Management

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111172406
Total Pages : 288 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Artificial Intelligence Enabled Management by : Rubee Singh

Download or read book Artificial Intelligence Enabled Management written by Rubee Singh and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

Artificial Intelligence Methods in the Environmental Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 1402091192
Total Pages : 418 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Artificial Intelligence Methods in the Environmental Sciences by : Sue Ellen Haupt

Download or read book Artificial Intelligence Methods in the Environmental Sciences written by Sue Ellen Haupt and published by Springer Science & Business Media. This book was released on 2008-11-28 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? This book describes various potential approaches based on artificial intelligence (AI) techniques, including neural networks, decision trees, genetic algorithms and fuzzy logic. Part I contains a series of tutorials describing the methods and the important considerations in applying them. In Part II, many practical examples illustrate the power of these techniques on actual environmental problems. International experts bring to life ways to apply AI to problems in the environmental sciences. While one culture entwines ideas with a thread, another links them with a red line. Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 447 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Exploring Ethical Dimensions of Environmental Sustainability and Use of AI by : Kannan, Hemachandran

Download or read book Exploring Ethical Dimensions of Environmental Sustainability and Use of AI written by Kannan, Hemachandran and published by IGI Global. This book was released on 2023-12-07 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.

The Ethical Frontier of AI and Data Analysis

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Publisher : IGI Global
ISBN 13 :
Total Pages : 475 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis The Ethical Frontier of AI and Data Analysis by : Kumar, Rajeev

Download or read book The Ethical Frontier of AI and Data Analysis written by Kumar, Rajeev and published by IGI Global. This book was released on 2024-03-04 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.

Machine Learning and Data Mining Approaches to Climate Science

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Publisher : Springer
ISBN 13 : 3319172204
Total Pages : 252 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Machine Learning and Data Mining Approaches to Climate Science by : Valliappa Lakshmanan

Download or read book Machine Learning and Data Mining Approaches to Climate Science written by Valliappa Lakshmanan and published by Springer. This book was released on 2015-06-30 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.

The Impacts of Climate Change

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Publisher : Elsevier
ISBN 13 : 012822374X
Total Pages : 572 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis The Impacts of Climate Change by : Trevor Letcher

Download or read book The Impacts of Climate Change written by Trevor Letcher and published by Elsevier. This book was released on 2021-05-09 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Impacts of Climate Change: A Comprehensive Study of Physical, Biophysical, Social and Political Issues presents the very real issues associated with climate change and global warming and how it affects the planet and everyone on it. From a physical perspective, the book covers such topics as population pressures, food issues, rising sea-levels and coastline degradation, and health. It then goes on to present social impacts, such as humanitarian issues, ethics, adaptation, urban issues, local action, and socio-economic issues. Finally, it addresses the political impacts, such as justice issues and politics of climate change in different locations. By offering this holistic review of the latest impacts of climate change, the book helps researchers to better understand what needs to be done in order to move toward renewable energy, change societal habits, and move toward sustainable development. Offers comprehensive coverage of the impacts of climate change from multiple perspectives (physical, social, and political) to develop synergy across disciplines Presents the latest research and developments on the understanding of climate change impacts on a variety of scales and disciplines Includes case studies and extensive references for further exploration