Big Data Artificial Intelligence And Data Analytics In Climate Change Research

Author : Gaurav Tripathi,Achala Shakya,Shruti Kanga,Suraj Kumar Singh,Praveen Kumar Rai
Publisher : Springer
Page : 0 pages
File Size : 49,7 Mb
Release : 2024-06-08
Category : Science
ISBN : 9819716845

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Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research by Gaurav Tripathi,Achala Shakya,Shruti Kanga,Suraj Kumar Singh,Praveen Kumar Rai Pdf

This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions. In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs.

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 255 pages
File Size : 44,8 Mb
Release : 2023-03-11
Category : Computers
ISBN : 9783031224560

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The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations by Aboul Ella Hassanien,Ashraf Darwish Pdf

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.

Author : Gaurav Tripathi
Publisher : Springer Nature
Page : 339 pages
File Size : 48,7 Mb
Release : 2024-05-23
Category : Electronic
ISBN : 9789819716852

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Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research by Gaurav Tripathi Pdf

Author : Zhihua Zhang
Publisher : Unknown
Page : 344 pages
File Size : 53,7 Mb
Release : 2019-12
Category : Electronic
ISBN : 9780128187036

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Big Data Mining for Climate Change by Zhihua Zhang Pdf

Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms

Author : Ansgar Steland,Kwok-Leung Tsui
Publisher : Springer Nature
Page : 378 pages
File Size : 40,7 Mb
Release : 2022-11-15
Category : Mathematics
ISBN : 9783031071553

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Artificial Intelligence, Big Data and Data Science in Statistics by Ansgar Steland,Kwok-Leung Tsui Pdf

This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply machine learning methods, demonstrating the benefits of statistics for modeling and analyzing high-dimensional and big data. The book’s expert contributions include theoretical studies of machine learning methods, expositions of general methodologies for sound statistical analyses of data as well as novel approaches to modeling and analyzing data for specific problems and areas. In terms of applications, the contributions deal with data as arising in industrial quality control, autonomous driving, transportation and traffic, chip manufacturing, photovoltaics, football, transmission of infectious diseases, Covid-19 and public health. The book will appeal to statisticians and data scientists, as well as engineers and computer scientists working in related fields or applications.

Author : Thomas Huang,Tiffany C. Vance,Christopher Lynnes
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 40,6 Mb
Release : 2022-10-14
Category : Science
ISBN : 9781119467533

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Big Data Analytics in Earth, Atmospheric, and Ocean Sciences by Thomas Huang,Tiffany C. Vance,Christopher Lynnes Pdf

Applying tools for data analysis to the rapidly increasing volume of data about the Earth An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more in this Q&A with the editors.

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 47,5 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Page : 263 pages
File Size : 49,5 Mb
Release : 2019-09-20
Category : Computers
ISBN : 9781522597520

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Big Data Analytics for Sustainable Computing by Haldorai, Anandakumar,Ramu, Arulmurugan Pdf

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Author : Celestine Iwendi, Thippa Reddy Gadekallu,Ali Kashif Bashir
Publisher : Frontiers Media SA
Page : 1365 pages
File Size : 50,7 Mb
Release : 2023-04-17
Category : Medical
ISBN : 9782832515754

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Big data analytics for smart healthcare applications by Celestine Iwendi, Thippa Reddy Gadekallu,Ali Kashif Bashir Pdf

Author : Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley
Publisher : Springer
Page : 252 pages
File Size : 48,9 Mb
Release : 2015-06-30
Category : Science
ISBN : 9783319172200

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Machine Learning and Data Mining Approaches to Climate Science by Valliappa Lakshmanan,Eric Gilleland,Amy McGovern,Martin Tingley Pdf

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.

Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Page : 292 pages
File Size : 40,5 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Author : Arun Lal Srivastav,Ashutosh Kumar Dubey,Abhishek Kumar,Sushil Kumar Narang,Moonis Ali Khan
Publisher : Elsevier
Page : 500 pages
File Size : 45,7 Mb
Release : 2022-11-11
Category : Science
ISBN : 9780323997157

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Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence by Arun Lal Srivastav,Ashutosh Kumar Dubey,Abhishek Kumar,Sushil Kumar Narang,Moonis Ali Khan Pdf

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

Author : Saravanan Krishnan,A.Jose Anand,Narayanan Prasanth,Sam Goundar,Christo Ananth
Publisher : CRC Press
Page : 386 pages
File Size : 49,7 Mb
Release : 2023-12-18
Category : Computers
ISBN : 9781000991482

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Predictive Analytics in Smart Agriculture by Saravanan Krishnan,A.Jose Anand,Narayanan Prasanth,Sam Goundar,Christo Ananth Pdf

Predictive Analysis in Smart Agricultureexplores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. The book also provides a case-oriented approach for IoT-based agricultural systems. This book deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.

Author : Vikram Goyal,Naveen Kumar,Sourav S. Bhowmick,Pawan Goyal,Navneet Goyal,Dhruv Kumar
Publisher : Springer Nature
Page : 274 pages
File Size : 49,9 Mb
Release : 2023-12-04
Category : Computers
ISBN : 9783031496011

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Big Data and Artificial Intelligence by Vikram Goyal,Naveen Kumar,Sourav S. Bhowmick,Pawan Goyal,Navneet Goyal,Dhruv Kumar Pdf

This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7–9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.

Author : Jennifer Dunn,Prasanna Balaprakash
Publisher : Elsevier
Page : 312 pages
File Size : 53,9 Mb
Release : 2021-05-11
Category : Science
ISBN : 9780128179772

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Data Science Applied to Sustainability Analysis by Jennifer Dunn,Prasanna Balaprakash Pdf

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery Includes considerations sustainability analysts must evaluate when applying big data Features case studies illustrating the application of data science in sustainability analyses