Computational Intelligent Data Analysis For Sustainable Development PDF Download

Computational Intelligent Data Analysis for Sustainable Development PDF
Author: Ting Yu
Publisher: CRC Press
ISBN: 1439895953
Size: 32.28 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 440
View: 2915

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Computational Intelligent Data Analysis For Sustainable Development Book Description:

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

Computational Intelligent Data Analysis For Sustainable Development PDF Download

Computational Intelligent Data Analysis for Sustainable Development PDF
Author: Ting Yu Nitesh
Publisher:
ISBN:
Size: 67.97 MB
Format: PDF, ePub
Category : Data mining
Languages : en
Pages : 414
View: 4997

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Computational Intelligent Data Analysis For Sustainable Development Book Description:

"Intelligent data analysis techniques offer powerful solutions to collecting and analyzing vast quantities of environmental and economic data, which lead to better decision making for sustainable development. This volume is the first to discuss the treatment of intelligent data analysis techniques in sustainable development applications. The book describes the emerging use of data mining, machine learning, artificial neural networks, data visualization, knowledge discovery, GIS, and other technologies to tackle environmental, economic, and social issues, including climate change, risk management, and population growth"--/Provided by publisher.

Advanced Intelligent Systems For Sustainable Development Ai2sd 2018 PDF Download

Advanced Intelligent Systems for Sustainable Development  AI2SD   2018  PDF
Author: Mostafa Ezziyyani
Publisher: Springer
ISBN: 3030118819
Size: 23.97 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 290
View: 2680

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Advanced Intelligent Systems For Sustainable Development Ai2sd 2018 Book Description:

This book gathers papers presented at the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), which was held in Tangiers, Morocco on 12–14 July 2018. It highlights how advanced intelligent systems have successfully been used to develop tools and techniques for modeling, prediction and decision support in connection with the environment. Though chiefly intended for researchers and practitioners in advanced intelligent systems for sustainable development, the book will also be of interest to those working in environment and the Internet of Things, environment and big data analysis, summarization, prediction, remote sensing & geo-information, geophysics, marine and coastal environments, and sensor networks for environment services.

Big Data Analytics For Sustainable Computing PDF Download

Big Data Analytics for Sustainable Computing PDF
Author: Haldorai, Anandakumar
Publisher: IGI Global
ISBN: 1522597522
Size: 29.12 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 263
View: 1675

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Big Data Analytics For Sustainable Computing Book Description:

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.

First International Conference On Sustainable Technologies For Computational Intelligence PDF Download

First International Conference on Sustainable Technologies for Computational Intelligence PDF
Author: Ashish Kumar Luhach
Publisher: Springer Nature
ISBN: 9811500290
Size: 36.28 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 847
View: 3909

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First International Conference On Sustainable Technologies For Computational Intelligence Book Description:

This book gathers high-quality papers presented at the First International Conference on Sustainable Technologies for Computational Intelligence (ICTSCI 2019), which was organized by Sri Balaji College of Engineering and Technology, Jaipur, Rajasthan, India, on March 29–30, 2019. It covers emerging topics in computational intelligence and effective strategies for its implementation in engineering applications.

Advanced Intelligent Systems For Sustainable Development Ai2sd 2019 PDF Download

Advanced Intelligent Systems for Sustainable Development  AI2SD   2019  PDF
Author: Mostafa Ezziyyani
Publisher: Springer Nature
ISBN: 3030366715
Size: 68.57 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 779
View: 3777

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Advanced Intelligent Systems For Sustainable Development Ai2sd 2019 Book Description:

This book gathers papers from the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco, which address the environment, industry and economy, and the role of advanced intelligent systems and computing in connection with these three fields. The book includes a host of interesting studies and successful applications regarding the economy and industry, e.g. in Manufacturing, Digital Factories, Smart Supply Chain Management in Industry, Project Management in Industry, Digital Economy, Digital Business, M-commerce, Blockchain and Digital Currencies. In addition, the book highlights work that addresses the environmental aspect, covering topics such as Big Data Analysis & the Internet of Things for Environmental Management, Sensor Networks for Environmental Services, Network Interoperability in Environmental Ecosystems, Wireless Sensors and Cognitive Radio Networks, Environmental Management Computing Systems, Sustainable Mobility Solutions, Remote Sensing Applications, Geo-information & Geophysics. Addressing social, legislative and environmental aspects, the book is intended for all stakeholders in the industrial world. It will be of interest e.g. to customers, helping them improve their profits and economic profitability, and to professionals and fishermen working to evolve and optimize their supply chains, and to improve productivity, in the fiercely competitive I4.0 world. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of the environment, industry and economy.

Handbook Of Computational Intelligence In Manufacturing And Production Management PDF Download

Handbook of Computational Intelligence in Manufacturing and Production Management PDF
Author: Laha, Dipak
Publisher: IGI Global
ISBN: 1599045842
Size: 70.71 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 516
View: 6014

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Handbook Of Computational Intelligence In Manufacturing And Production Management Book Description:

During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Data Science And Big Data Analytics PDF Download

Data Science and Big Data Analytics PDF
Author: Durgesh Kumar Mishra
Publisher: Springer
ISBN: 9811076413
Size: 78.79 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 406
View: 975

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Data Science And Big Data Analytics Book Description:

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

Soft Computing For Business Intelligence PDF Download

Soft Computing for Business Intelligence PDF
Author: Rafael Espin
Publisher: Springer
ISBN: 3642537375
Size: 45.30 MB
Format: PDF
Category : Computers
Languages : en
Pages : 432
View: 137

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Soft Computing For Business Intelligence Book Description:

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

Computational Intelligence Techniques In Earth And Environmental Sciences PDF Download

Computational Intelligence Techniques in Earth and Environmental Sciences PDF
Author: Tanvir Islam
Publisher: Springer Science & Business Media
ISBN: 9401786429
Size: 35.33 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 266
View: 5314

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Computational Intelligence Techniques In Earth And Environmental Sciences Book Description:

Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.