Sustainability Analytics And Modeling

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• Author : Jennifer Dunn,Prasanna Balaprakash
• Publisher : Elsevier
• Release Date : 2021-05-11
• Total pages : 310
• ISBN : 9780128179772
• File Size : 46,6 Mb
• Total Download : 291
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Download Data Science Applied to Sustainability Analysis in PDF, Epub, and Kindle

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

• Author : Raghavan (Ram) Ramanan
• Publisher : CRC Press
• Release Date : 2018-07-04
• Total pages : 302
• ISBN : 9781498777117
• File Size : 18,5 Mb
• Total Download : 881
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Download Introduction to Sustainability Analytics in PDF, Epub, and Kindle

The roles of corporate and public stewards and the nature of their social contract with society have been changing over the past two centuries, and those changes have accelerated in recent decades. Moreover, with increasing focus on sustainability factors from the marketplace (regulators, investors, financiers, and consumers), corporate sustainability disclosure is shifting from voluntary to vital. Corporate and public stewards are now responsible for their performance and services from cradle-to-grave: they must properly manage corporate social responsibility and integrate it into their global strategies, rather than consider it as merely a moral obligation or a risk/reputation management exercise. Sustainability analytics, the critical link between sustainability and business strategy, helps professionals track, trend, and transform sustainability information into actionable insights across the value chain and life cycle, to enhance their sustainability performance and its disclosure. This book, Introduction to Sustainability Analytics, provides corporate and public stewards with a comprehensive understanding of how to determine which sustainability metrics are material to them and relevant to their business, and how to incorporate them into corporate strategy, resource allocation, and prioritization. Focusing on practical decision-making needs, it explains how to value and prioritize initiatives, and how to best allocate necessary resources through several real case studies and practical examples. Features: Examines pressing issues such as climate change, water scarcity, and environmental justice Explains how to develop a business case and global strategy for social responsibility Includes both corporate and public policy perspectives on sustainability economics Covers emerging regulations on sustainability disclosure and responsible investing

• Author : Xingxing Zhang
• Publisher : Springer Nature
• Release Date : 2021-09-11
• Total pages : 450
• ISBN : 9789811627781
• File Size : 22,5 Mb
• Total Download : 867
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Download Data-driven Analytics for Sustainable Buildings and Cities in PDF, Epub, and Kindle

This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

• Author : Jorge Marx Gómez,Lawal O. Yesufu
• Publisher : Springer Nature
• Release Date : 2022-09-26
• Total pages : 195
• ISBN : 9783031125270
• File Size : 15,6 Mb
• Total Download : 223
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Download Sustainable Development Through Data Analytics and Innovation in PDF, Epub, and Kindle

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.

• Author : Simon Elias Bibri
• Publisher : Springer
• Release Date : 2019-05-30
• Total pages : 337
• ISBN : 9783030173128
• File Size : 9,5 Mb
• Total Download : 121
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Download Big Data Science and Analytics for Smart Sustainable Urbanism in PDF, Epub, and Kindle

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.

• Author : National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Applied and Theoretical Statistics,National Academies of Sciences, Engineering, and Medicine (U.S.). Board on Energy and Environmental Systems,National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board
• Publisher : Unknown
• Release Date : 2023
• Total pages : 94
• ISBN : 0309494125
• File Size : 33,5 Mb
• Total Download : 416
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Download Enhancing Urban Sustainability with Data, Modeling, and Simulation in PDF, Epub, and Kindle

"On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop"--Publisher's description

• Author : Biswajeet Pradhan,Pravat Kumar Shit,Gouri Sankar Bhunia,Partha Pratim Adhikary,Hamid Reza Pourghasemi
• Publisher : Springer Nature
• Release Date : 2022-04-06
• Total pages : 248
• ISBN : 9783030945442
• File Size : 31,6 Mb
• Total Download : 325
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Download Spatial Modelling of Flood Risk and Flood Hazards in PDF, Epub, and Kindle

Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.

• Author : Renard Siew
• Publisher : Springer Nature
• Release Date : 2023-01-01
• Total pages : 262
• ISBN : 9789811982378
• File Size : 41,6 Mb
• Total Download : 331
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Download Sustainability Analytics Toolkit for Practitioners in PDF, Epub, and Kindle

This book solicits meaningful contributions from key experts and practitioners that have been dealing with the emerging area of sustainability analytics. In doing so, readers would understand the cost, impact and performance of their sustainability initiatives. The book covers current analytical tools (eg: frameworks, standards, ESG indexes) to measure sustainability, and how these tools embed the Sustainable Development Goals (SDGs). In addition to that, a part of the book is also dedicated to the application of sustainability analytics, highlighting key challenges as well as the importance of engagement and communication in shaping the future direction of sustainability assessments. This book will be extremely useful to both researchers and practitioners who are looking for best--in-class practices to create value from their sustainability initiatives.

• Author : George Vlontzos,Yiannis Ampatzidis,Basil Manos,Panos M. Pardalos
• Publisher : CRC Press
• Release Date : 2021-12-23
• Total pages : 212
• ISBN : 9780429588853
• File Size : 18,8 Mb
• Total Download : 710
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Download Modeling for Sustainable Management in Agriculture, Food and the Environment in PDF, Epub, and Kindle

Recent developments in computer science, data mining and big data analytics have resulted in new operational frameworks in agriculture, food and the environment, which in fact, share a strong link between them. A key challenge for researchers is to extract new data patterns and utilize them in decision making. Managers, policy makers, and practitioners have to be aware of these methodologies in order to establish efficient and effective working groups for the tasks to be resolved. The book reviews the complexity of the interrelationship between agriculture, food production and processing, and environmental issues. It also highlights the prospects of modeling in various cases of problem solving in these sectors, and reviews the new and future challenges. Consumer awareness in food production and processing practices is continually increasing and the necessity for advanced behavioural tools follows the same trend. Furthermore, the value chain management challenge is becoming one of the most crucial tasks due to the increased importance of new parameters like the origin of products, its environmental footprint and the enhancement of local production, etc. The book addresses these topics in a holistic approach, merging modeling with advanced marketing practices in a coherent and innovative manner, being an effective tool in a continuously demanding world.

• Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
• Publisher : Springer
• Release Date : 2017-02-13
• Total pages : 226
• ISBN : 9783319524917
• File Size : 23,7 Mb
• Total Download : 161
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Download Strategic Engineering for Cloud Computing and Big Data Analytics in PDF, Epub, and Kindle

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

• Author : Simon Elias Bibri
• Publisher : Springer
• Release Date : 2018-02-24
• Total pages : 660
• ISBN : 9783319739816
• File Size : 46,6 Mb
• Total Download : 803
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Download Smart Sustainable Cities of the Future in PDF, Epub, and Kindle

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

• Author : Dinesh K. Sharma,Madhu Jain
• Publisher : Springer Nature
• Release Date : 2022-11-08
• Total pages : 293
• ISBN : 9789811963377
• File Size : 50,7 Mb
• Total Download : 699
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Download Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management in PDF, Epub, and Kindle

This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included.The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics.

• Author : Jingshan Li,Nan Kong,Xiaolei Xie
• Publisher : World Scientific Publishing Company
• Release Date : 2017-09-04
• Total pages : 309
• ISBN : 9813220848
• File Size : 55,8 Mb
• Total Download : 387
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Download Stochastic Modeling and Analytics in Healthcare Delivery Systems in PDF, Epub, and Kindle

Sustainability is going to be one of the most important issues of the coming decades. For the first time, institutions at all levels, public and private, national and international, are teaming up to combat climate change and to promote more sustainable s

• Author : Dirk Inghels
• Publisher : Springer Nature
• Release Date : 2020-11-05
• Total pages : 236
• ISBN : 9783030584221
• File Size : 31,5 Mb
• Total Download : 110
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Download Introduction to Modeling Sustainable Development in Business Processes in PDF, Epub, and Kindle

Sustainable development and corporate social responsibility drive countries, regions, and businesses to take environmental and social concerns into account when realizing economic objectives. A growing awareness of the connectedness between industrial, societal, and environmental systems might shift the way businesses will be operated. This book aims to help students and business practitioners use quantitative modeling in their pursuit to make business processes sustainable. Two approaches are introduced: linear optimization and system dynamics. Moreover, the quantification of the three different sustainability objectives is also addressed. Next to introducing the theoretical background, many real-life examples are discussed to demonstrate how the modelling techniques can be applied.

• Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Computer Science and Telecommunications Board,Board on Energy and Environmental Systems,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics
• Publisher : National Academies Press
• Release Date : 2019-09-24
• Total pages : 108
• ISBN : 9780309494144
• File Size : 11,5 Mb
• Total Download : 491
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Download Enhancing Urban Sustainability with Data, Modeling, and Simulation in PDF, Epub, and Kindle

On January 30-31, 2019 the Board on Mathematical Sciences and Analytics, in collaboration with the Board on Energy and Environmental Systems and the Computer Science and Telecommunications Board, convened a workshop in Washington, D.C. to explore the frontiers of mathematics and data science needs for sustainable urban communities. The workshop strengthened the emerging interdisciplinary network of practitioners, business leaders, government officials, nonprofit stakeholders, academics, and policy makers using data, modeling, and simulation for urban and community sustainability, and addressed common challenges that the community faces. Presentations highlighted urban sustainability research efforts and programs under way, including research into air quality, water management, waste disposal, and social equity and discussed promising urban sustainability research questions that improved use of big data, modeling, and simulation can help address. This publication summarizes the presentation and discussion of the workshop.

• Author : Fernando Moreira da Silva,Helena Maria Bártolo,Paulo Bártolo,Rita Almendra,Filipa Roseta,Henrique Amorim Almeida,Ana Cristina Lemos
• Publisher : CRC Press
• Release Date : 2017-04-21
• Total pages : 458
• ISBN : 9781351772006
• File Size : 37,8 Mb
• Total Download : 829
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Download Challenges for Technology Innovation: An Agenda for the Future in PDF, Epub, and Kindle

The world is undergoing a profound transformation, driven by radical technological changes and an accelerated globalisation process. A new culture of greater resource efficiency and disruptive innovation will require new technologies, processes and materials, fostering new knowledge, innovation, education and a digital society, bringing forward new business opportunities and novel solutions to major societal challenges. Challenges for Technology Innovation: an Agenda for the Future is the result of the 1st International Conference on Sustainable Smart Manufacturing – S2M, held at the Faculty of Architecture in Lisbon, Portugal, on October 20-22, 2016. It contains innovative contributions in the field of Sustainable Smart Manufacturing and related topics, making a significant contribution to further development of these fields. This volume covers a wide range of topics including Design and Digital Manufacturing, Design Education, Eco Design and Innovation, Future Cities, Medicine 4.0, Smart Manufacturing, Sustainable Business Models, Sustainable Construction, Sustainable Design and Technology and Sustainable Recycling.

• Author : Alaa El Din Mahmoud,Manal Fawzy,Nadeem Ahmad Khan
• Publisher : CRC Press
• Release Date : 2023-04-25
• Total pages : 345
• ISBN : 9781000829785
• File Size : 21,6 Mb
• Total Download : 672
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Download Artificial Intelligence and Modeling for Water Sustainability in PDF, Epub, and Kindle

Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures. FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.

• Author : José Antonio Núñez Mora,M. Beatriz Mota Aragón
• Publisher : Springer Nature
• Release Date : 2022-10-26
• Total pages : 209
• ISBN : 9789811946950
• File Size : 18,9 Mb
• Total Download : 749
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Download Data Analytics Applications in Emerging Markets in PDF, Epub, and Kindle

This book analyzes the impact of technology in emerging markets by considering conditions and the history of how it has changed the way of working and market development in such contexts. The book delves into key areas such as fintech enterprises, artificial intelligence, pension funds, stock markets, and energy markets though applied studies and research. This book is a useful read for practitioners and scholars interested in how technology has and continues to change the way in which development is defined and achieved, particularly in emerging markets.

• Author : Kohei Arai
• Publisher : Springer Nature
• Release Date : 2022-08-07
• Total pages : 917
• ISBN : 9783031104619
• File Size : 38,5 Mb
• Total Download : 610
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Download Intelligent Computing in PDF, Epub, and Kindle

The book, “Intelligent Computing - Proceedings of the 2022 Computing Conference”, is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2022 held on July 14-15, 2022. Computing 2022 attracted a total of 498 submissions which underwent a double-blind peer-review process. Of those 498 submissions, 179 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

• Author : Vikram Bali,Vishal Bhatnagar,Joan Lu,Kakoli Banerjee
• Publisher : Springer Nature
• Release Date : 2022-06-23
• Total pages : 319
• ISBN : 9789811916892
• File Size : 40,6 Mb
• Total Download : 201
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Download Decision Analytics for Sustainable Development in Smart Society 5.0 in PDF, Epub, and Kindle

This book covers sustainable development in smart society’s 5.0 using data analytics. The data analytics is the approach of integrating diversified heterogeneous data for predictive analysis to accredit innovation, decision making, business analysis, and strategic decision making. The data science brings together the research in the field of data analytics, online information analytics, and big data analytics to synthesize issues, challenges, and opportunities across smart society 5.0. Accordingly, the book offers an interesting and insightful read for researchers in the areas of decision analytics, cognitive analytics, big data analytics, visual analytics, text analytics, spatial analytics, risk analytics, graph analytics, predictive analytics, and analytics-enabled applications.

• Author : Manoranjan Mishra,Manoj Kumar Dash,Dinoj Kumar Upadhyay,Raj Kishor Kampa
• Publisher : CRC Press
• Release Date : 2021-12-23
• Total pages : 267
• ISBN : 9781000292244
• File Size : 11,8 Mb
• Total Download : 905
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Download Resource Efficiency, Sustainability, and Globalization in PDF, Epub, and Kindle

The EU is a major trade partner with India, and economic linkages continue to deepen. India and the EU have increased their political interactions and are crucial partners in promoting sustainable development. Recent trends in India-EU relations show that New Delhi and Brussels are keen to expand their partnership in multiple areas, including sustainable development and natural resources management. This volume takes a unique approach to exploring the efficient management of resources in the era of resource depletion due to climate changes and business expansion, in conjunction with considering the multiple dimensions of India-European Union cooperation. It analyzes regional and global trends in the process of globalization and sustainable development, particularly in the context of natural resource management and resource efficiency. It offers a variety of perspectives through useful and current information in this field, providing a concise and holistic understanding of the issues and challenges faced when exploiting natural resources for sustainable and efficient resource utilization.