Data Science Applied To Sustainability Analysis

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Data Science Applied to Sustainability Analysis

Author : Jennifer Dunn
Publisher : Elsevier
ISBN 13 : 0128179775
Total Pages : 312 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Science Applied to Sustainability Analysis by : Jennifer Dunn

Download or read book Data Science Applied to Sustainability Analysis written by Jennifer Dunn and published by Elsevier. This book was released on 2021-05-11 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Sustainable Development Through Data Analytics and Innovation

Author : Jorge Marx Gómez
Publisher : Springer Nature
ISBN 13 : 3031125274
Total Pages : 195 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Sustainable Development Through Data Analytics and Innovation by : Jorge Marx Gómez

Download or read book Sustainable Development Through Data Analytics and Innovation written by Jorge Marx Gómez and published by Springer Nature. This book was released on 2022-09-26 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.

Computational Intelligent Data Analysis for Sustainable Development

Author : Ting Yu
Publisher : CRC Press
ISBN 13 : 1439895953
Total Pages : 443 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Intelligent Data Analysis for Sustainable Development by : Ting Yu

Download or read book Computational Intelligent Data Analysis for Sustainable Development written by Ting Yu and published by CRC Press. This book was released on 2016-04-19 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Sustainability Analysis

Author : S. Shmelev
Publisher : Springer
ISBN 13 : 0230362435
Total Pages : 501 pages
Book Rating : 4.2/5 (33 download)

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Book Synopsis Sustainability Analysis by : S. Shmelev

Download or read book Sustainability Analysis written by S. Shmelev and published by Springer. This book was released on 2012-01-27 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainability Analysis provides a detailed exploration of current environmental thinking from a variety of perspectives, including institutional and psychological angles. Primarily focusing on macroeconomic policies and green national accounting, this book provides a strong basis for further study in sustainable development.

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Author : Victor Chang
Publisher : Academic Press
ISBN 13 : 0323903789
Total Pages : 294 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 by : Victor Chang

Download or read book Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 written by Victor Chang and published by Academic Press. This book was released on 2022-04-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

Methods in Sustainability Science

Author : Jingzheng Ren
Publisher : Elsevier
ISBN 13 : 012824240X
Total Pages : 446 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Methods in Sustainability Science by : Jingzheng Ren

Download or read book Methods in Sustainability Science written by Jingzheng Ren and published by Elsevier. This book was released on 2021-08-05 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability Includes detailed case studies demonstrating the efficacies of the described methods

Data Science and SDGs

Author : Bikas Kumar Sinha
Publisher :
ISBN 13 : 9789811619205
Total Pages : 0 pages
Book Rating : 4.6/5 (192 download)

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Book Synopsis Data Science and SDGs by : Bikas Kumar Sinha

Download or read book Data Science and SDGs written by Bikas Kumar Sinha and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.

Handbook on Life Cycle Sustainability Assessment

Author : Guido Sonnemann
Publisher : Edward Elgar Publishing
ISBN 13 : 1800378653
Total Pages : 461 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis Handbook on Life Cycle Sustainability Assessment by : Guido Sonnemann

Download or read book Handbook on Life Cycle Sustainability Assessment written by Guido Sonnemann and published by Edward Elgar Publishing. This book was released on 2024-04-12 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook presents the state-of-the-art of Life Cycle Sustainability Assessment (LCSA) practice and provides guidance for its implementation and outlook for future work. Spotlighting sustainability analysts, managers and overall decision-makers from private and public sectors as well as experts in academia, it covers the historical background and current global context for life cycle sustainability assessment, methods and data management advancements.

Big Data Science and Analytics for Smart Sustainable Urbanism

Author : Simon Elias Bibri
Publisher : Springer
ISBN 13 : 9783030173142
Total Pages : 337 pages
Book Rating : 4.1/5 (731 download)

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Book Synopsis Big Data Science and Analytics for Smart Sustainable Urbanism by : Simon Elias Bibri

Download or read book Big Data Science and Analytics for Smart Sustainable Urbanism written by Simon Elias Bibri and published by Springer. This book was released on 2020-07-03 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure

Author : Cuong Ha-Minh
Publisher : Springer Nature
ISBN 13 : 9811671605
Total Pages : 1861 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure by : Cuong Ha-Minh

Download or read book CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure written by Cuong Ha-Minh and published by Springer Nature. This book was released on 2021-10-28 with total page 1861 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.

Introduction to Environmental Data Science

Author : Jerry Davis
Publisher : CRC Press
ISBN 13 : 100084241X
Total Pages : 492 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Introduction to Environmental Data Science by : Jerry Davis

Download or read book Introduction to Environmental Data Science written by Jerry Davis and published by CRC Press. This book was released on 2023-03-13 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. Features • Gives thorough consideration of the needs for environmental research in both spatial and temporal domains. • Features examples of applications involving field-collected data ranging from individual observations to data logging. • Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA. • Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors. • All examples and exercises make use of a GitHub package for functions and especially data.

Earth System Analysis for Sustainability

Author : Hans-Joachim Schellnhuber
Publisher : MIT Press
ISBN 13 : 9780262195133
Total Pages : 484 pages
Book Rating : 4.1/5 (951 download)

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Book Synopsis Earth System Analysis for Sustainability by : Hans-Joachim Schellnhuber

Download or read book Earth System Analysis for Sustainability written by Hans-Joachim Schellnhuber and published by MIT Press. This book was released on 2004 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the complete story of the inseparably intertwined evolution of life and matter on earth, focussing on four major topics. It analyzes the driving forces behind global change and uses this knowledge to propose principles for global stewardship.

Research Handbook on Big Data Law

Author : Roland Vogl
Publisher : Edward Elgar Publishing
ISBN 13 : 1788972821
Total Pages : 544 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Research Handbook on Big Data Law by : Roland Vogl

Download or read book Research Handbook on Big Data Law written by Roland Vogl and published by Edward Elgar Publishing. This book was released on 2021-05-28 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Introduction to Energy Systems

Author : Ibrahim Dinçer
Publisher : John Wiley & Sons
ISBN 13 : 1119825784
Total Pages : 581 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Introduction to Energy Systems by : Ibrahim Dinçer

Download or read book Introduction to Energy Systems written by Ibrahim Dinçer and published by John Wiley & Sons. This book was released on 2023-08-28 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Energy Systems An in-depth introduction to applications and analysis of energy systems, covering both renewable and traditional types of energy systems In Introduction to Energy Systems, the content is uniquely designed to cover comprehensive descriptions and assessments of all the key types of energy sources, including fossil fuels-based, nuclear, and renewable energy systems, with a special focus on their design, analysis and assessment, technical and operational aspects, and applications. As a comprehensive resource, the work also introduces many topics not typically covered in other energy system textbooks, such as system design and assessment through exergy, environmental impact assessment of energy systems, and life cycle assessment. From a theory standpoint, the book provides context on the importance of energy and the issues related to energy we face in our world today, with close attention paid to key environmental and sustainability issues. Furthermore, the book includes illustrative examples and problems, and case studies. To aid in seamless reader comprehension, helpful questions and problems are included at the end of each chapter. Sample topics covered in Introduction to Energy Systems include: Fundamental concepts and thermodynamic principles, traditional and innovative systems, and detailed applications in renewable energy systems, including solar, wind, geothermal, biomass, hydro, and marine energies Different types of fuels used in energy systems today, discussions of their combustion characteristics with a clear analysis of each one, and analyses and assessments through energy and exergy approaches Industrial ecology and life cycle assessment, with the intention of clearly assessing the environmental impacts of energy systems How to write balance equations for mass, energy, entropy and exergy, calculate the required capacities, and find the energy and exergy efficiencies and/or energetic and exegetics coefficient of performance values Introduction to Energy Systems serves as a valuable learning resource for both undergraduate and graduate students studying courses, such as Introduction to Energy Systems, Energy System Design, Renewable Energy, Energy & Sustainability, and Fundamentals of Renewable Energy.

Design Tools and Methods in Industrial Engineering III

Author : Monica Carfagni
Publisher : Springer Nature
ISBN 13 : 303158094X
Total Pages : 630 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Design Tools and Methods in Industrial Engineering III by : Monica Carfagni

Download or read book Design Tools and Methods in Industrial Engineering III written by Monica Carfagni and published by Springer Nature. This book was released on with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Framing in Sustainability Science

Author : Takashi Mino
Publisher : Springer Nature
ISBN 13 : 9811390614
Total Pages : 196 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Framing in Sustainability Science by : Takashi Mino

Download or read book Framing in Sustainability Science written by Takashi Mino and published by Springer Nature. This book was released on 2019-11-12 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers both conceptual and empirical descriptions of how to “frame” sustainability challenges. It defines “framing” in the context of sustainability science as the process of identifying subjects, setting boundaries, and defining problems. The chapters are grouped into two sections: a conceptual section and a case section. The conceptual section introduces readers to theories and concepts that can be used to achieve multiple understandings of sustainability; in turn, the case section highlights different ways of comprehending sustainability for researchers, practitioners, and other stakeholders. The book offers diverse illustrations of what sustainability concepts entail, both conceptually and empirically, and will help readers become aware of the implicit framings in sustainability-related discourses. In the extant literature, sustainability challenges such as climate change, sustainable development, and rapid urbanization have largely been treated as “pre-set,” fixed topics, while possible solutions have been discussed intensively. In contrast, this book examines the framings applied to the sustainability challenges themselves, and illustrates the road that led us to the current sustainability discourse.

Computational Intelligence Aided Systems for Healthcare Domain

Author : Akshansh Gupta
Publisher : CRC Press
ISBN 13 : 1000884406
Total Pages : 392 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence Aided Systems for Healthcare Domain by : Akshansh Gupta

Download or read book Computational Intelligence Aided Systems for Healthcare Domain written by Akshansh Gupta and published by CRC Press. This book was released on 2023-06-14 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. This book: Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems Highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies Discusses nature-inspired computing algorithms for the brain-computer interface Covers graph neural network application in the medical domain Provides insights into the state-of-the-art artificial intelligence and smart computing enabling and emerging technologies This book discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.