Big Data Optimization Recent Developments And Challenges
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Big Data Optimization Recent Developments And Challenges
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Author : Ali Emrouznejad
language : en
Publisher: Springer
Release Date : 2016-05-26
Big Data Optimization Recent Developments And Challenges written by Ali Emrouznejad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-26 with Technology & Engineering categories.
The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
Big Data For The Greater Good
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Author : Ali Emrouznejad
language : en
Publisher: Springer
Release Date : 2018-07-13
Big Data For The Greater Good written by Ali Emrouznejad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-13 with Technology & Engineering categories.
This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.
Big Data And Blockchain For Service Operations Management
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Author : Ali Emrouznejad
language : en
Publisher: Springer Nature
Release Date : 2022-02-12
Big Data And Blockchain For Service Operations Management written by Ali Emrouznejad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-12 with Computers categories.
This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.
Big Data Analytics In Future Power Systems
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Author : Ahmed F. Zobaa
language : en
Publisher: CRC Press
Release Date : 2018-08-14
Big Data Analytics In Future Power Systems written by Ahmed F. Zobaa and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-14 with Science categories.
Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids. Provide a general description and definition of big data, which has been gaining significant attention in the research community. Introduces a comprehensive overview of big data optimization methods in power system. Reviews the communication devices used in critical infrastructure, especially power systems; security methods available to vet the identity of devices; and general security threats in CI networks. Presents applications in power systems, such as power flow and protection. Reviews electricity theft concerns and the wide variety of data-driven techniques and applications developed for electricity theft detection.
Big Data Analytics In Supply Chain Management
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Author : Iman Rahimi
language : en
Publisher: CRC Press
Release Date : 2020-12-20
Big Data Analytics In Supply Chain Management written by Iman Rahimi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
New Trends Of Mathematical Inverse Problems And Applications
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Author : Amine Laghrib
language : en
Publisher: Springer Nature
Release Date : 2023-07-15
New Trends Of Mathematical Inverse Problems And Applications written by Amine Laghrib and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-15 with Mathematics categories.
This volume comprises the thoroughly reviewed and revised papers of the First International Conference on New Trends in Applied Mathematics, ICNTAM 2022, which took place in Béni Mellal, Morocco, 19-21 May 2022. The papers deal with the following topics: Inverse Problems, Partial Differential Equations, Mathematical Control, Numerical Analysis and Computer Science. The main interest is in recent trends on Inverse Problems analysis and real applications in Computer Science. The latter is viewed as a dynamic branch on the interface of mathematics and related fields, that has been growing rapidly over the past several decades. However, its mathematical analysis and interpretation still not well-detailed and needs much more clarifications. The main contribution of this book is to give some sufficient mathematical content with expressive results and accurate applications. As a growing field, it is gaining a lot of attention both in media as well as in the industry world, which will attract the interest of readers from different scientist discipline.
New Trends In The Use Of Artificial Intelligence For The Industry 4 0
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Author : Luis Romeral Martinez
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-03-25
New Trends In The Use Of Artificial Intelligence For The Industry 4 0 written by Luis Romeral Martinez and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-25 with Technology & Engineering categories.
Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.
Big Data For Remote Sensing Visualization Analysis And Interpretation
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Author : Nilanjan Dey
language : en
Publisher: Springer
Release Date : 2018-05-23
Big Data For Remote Sensing Visualization Analysis And Interpretation written by Nilanjan Dey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-23 with Science categories.
This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
Optimizing Student Engagement In Online Learning Environments
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Author : Kumar, A.V. Senthil
language : en
Publisher: IGI Global
Release Date : 2017-11-30
Optimizing Student Engagement In Online Learning Environments written by Kumar, A.V. Senthil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-30 with Education categories.
Digital classrooms have become a common addition to curriculums in higher education; however, such learning systems are only successful if students are properly motivated to learn. Optimizing Student Engagement in Online Learning Environments is a critical scholarly resource that examines the importance of motivation in digital classrooms and outlines methods to reengage learners. Featuring coverage on a broad range of topics such as motivational strategies, learning assessment, and student involvement, this book is geared toward academicians, researchers, and students seeking current research on the importance of maintaining ambition among learners in digital classrooms.
Handbook Of Research On Reinventing Economies And Organizations Following A Global Health Crisis
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Author : Costa, Teresa Gomes da
language : en
Publisher: IGI Global
Release Date : 2021-06-11
Handbook Of Research On Reinventing Economies And Organizations Following A Global Health Crisis written by Costa, Teresa Gomes da and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Business & Economics categories.
Due to the global health crisis, economies had to adapt to combat pandemic situations. In the present pandemic crisis, new legislation, methods, labor approaches, values, and social behaviors have emerged with a huge impact in all organizations. However, countries have applied different solutions, procedures, and rules to deal with crises. Therefore, the impact has been different per country. Organizations need to understand their customers and businesses not only to increase operational efficiency but also to increase stakeholder’s satisfaction and their competitiveness in a sustainable way. Customers are becoming more exigent and markets more complex, calling for the need for higher differentiation. This was enhanced in this pandemic situation, and to survive, organizations needed to change and adapt to the new normal. The Handbook of Research on Reinventing Economies and Organizations Following a Global Health Crisis deals with management and economic issues, particularly with the reinvention of businesses and economies due to the pandemic situation and the relevance of entrepreneurship, innovation, and intensive knowledge used to deal with these changes. This book emphasizes the challenges, difficulties, and opportunities for the success of businesses and economies in periods of crisis and provides information for dealing with entrepreneurship and innovation, networks, and complementarities to recover businesses. The chapters also point out possible opportunities, challenges, and risks in the process of recovery highlighting innovation, internationalization, technology, and intensive knowledge in promoting economies and companies’ competitiveness. This book is ideal for entrepreneurs, managers, economists, directors, shareholders, researchers, academicians, and students interested in how businesses reinvent and recover following a global health crisis.