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Author: Jiuping Xu
Publisher: Springer Nature
ISBN: 3030498891
Category : Technology & Engineering
Languages : en
Pages : 831
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Book Description
This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.
Author: Jiuping Xu
Publisher: Springer Nature
ISBN: 3030498891
Category : Technology & Engineering
Languages : en
Pages : 831
Get Book Here
Book Description
This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.
Author: Jiuping Xu
Publisher: Springer Nature
ISBN: 9819750989
Category :
Languages : en
Pages : 1703
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Book Description
Author: Jiuping Xu
Publisher: Springer Nature
ISBN: 3030498298
Category : Technology & Engineering
Languages : en
Pages : 856
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Book Description
This book gathers the proceedings of the 14th International Conference on Management Science and Engineering Management (ICMSEM 2020). Held at the Academy of Studies of Moldova from July 30 to August 2, 2020, the conference provided a platform for researchers and practitioners in the field to share their ideas and experiences. Covering a wide range of topics, including hot management issues in engineering science, the book presents novel ideas and the latest research advances in the area of management science and engineering management. It includes both theoretical and practical studies of management science applied in computing methodology, highlighting advanced management concepts, and computing technologies for decision-making problems involving large, uncertain and unstructured data. The book also describes the changes and challenges relating to decision-making procedures at the dawn of the big data era, and discusses new technologies for analysis, capture, search, sharing, storage, transfer and visualization, and in the context of privacy violations, as well as advances in the integration of optimization, statistics and data mining. Given its scope, it will appeal to a wide readership, particularly those looking for new ideas and research directions.
Author: Railean, Elena Aurel
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 548
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Book Description
Higher education faces the ongoing challenge of engaging students in successful lifelong learning despite rapidly evolving environments. Traditional teaching methods need to be revised to prepare students for the complexities of modern society, as they currently leave a gap between theory and practice. To address this dilemma, Implementing Interactive Learning Strategies in Higher Education offers a comprehensive framework and the latest empirical research to help educators address students' diverse learning needs. The book focuses on active and interactive learning strategies, cognitive and metacognitive approaches, and social-emotional learning techniques. It provides practical insights for educators across disciplines, including adaptive learning strategies and innovative digital engagement methods.
Author: Bahaaeddin Alareeni
Publisher: Springer Nature
ISBN: 3031652037
Category : Artificial intelligence
Languages : en
Pages : 1075
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Book Description
This book presents a groundbreaking exploration into the dynamic synergy between artificial intelligence and business development. Titled "AI Integration for Business Development: Navigating Opportunities, Unleashing Potential, Managing Risks," it serves as an indispensable guide for leaders and visionaries aiming to harness the transformative power of AI. The book introduces a comprehensive journey that unveils the strategic integration of AI into business development strategies. This book shows how to navigate a myriad of opportunities, strategically unleash untapped potential, and adeptly manage risks in the ever-evolving landscape of artificial intelligence. Through meticulous insights, real-world examples, and actionable strategies, readers gain the knowledge to make informed decisions and drive competitive advantage. This book presents not only a roadmap for identifying lucrative opportunities but also a blueprint for unlocking the full potential of AI technologies. Whether you are a seasoned executive, entrepreneur, or decision-maker, this book empowers you to proactively manage risks inherent in AI adoption, ensuring resilience and adaptability in your business model. Discover how to stay ahead in the rapidly changing business landscape, shaping the future of your business development initiatives. This book is your indispensable companion, offering profound insights into AI integration and empowering you to seize the transformative potential of AI. This book is your key to charting a course toward sustained success and innovation in the dynamic world of modern business.
Author: Duca, Gheorghe
Publisher: IGI Global
ISBN: 1668472007
Category : Technology & Engineering
Languages : en
Pages : 524
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Book Description
Redox processes represent a major advancement in water treatment technology and have other applications across environmental and technological contexts. Redox processes must be studied further to ensure they are utilized appropriately. Fundamental and Biomedical Aspects of Redox Processes accumulates new knowledge regarding the essence of the oxidation-reduction processes, the justification of key mechanisms, and the discovery of new aspects of methods of controlling redox reactions. Covering key topics such as wastewater treatment, soil, natural waters, and chemistry, this reference work is ideal for industry professionals, scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Jiuping Xu
Publisher: Springer Science & Business Media
ISBN: 1447145992
Category : Technology & Engineering
Languages : en
Pages : 1030
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Book Description
Welcome to the proceedings of the Sixth International Conference on Management Science and Engineering Management (ICMSEM2012) held from November 11 to 14, 2012 at Quaid-i-Azam University, Islamabad, Pakistan and supported by Sichuan University (Chengdu, China), Quaid-i-Azam University (Islamabad, Pakistan) and The National Natural Science Foundation of China. The International Conference on Management Science and Engineering Management is the annual conference organized by the International Society of Management Science and Engineering Management. The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research results. The papers are classified into 8 sections: Computer and Networks, Information Technology, Decision Support System, Industrial Engineering, Supply Chain Management, Project Management, Manufacturing and Ecological Engineering. The key issues of the sixth ICMSEM cover various areas in MSEM, such as Decision Support System, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic models and Simulation, Heuristics Algorithms, Risk Control, and Carbon Credits.
Author: Khosrow-Pour, D.B.A., Mehdi
Publisher: IGI Global
ISBN: 1599042886
Category : Business & Economics
Languages : en
Pages : 371
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Book Description
"This book supplies the industry leaders, practicing managers, researchers, experts, and educators with the most current findings on undertaking the operation of the latest information technology reforms, developments, and changes. It presents the issues facing modern organizations and provides the most recent strategies in overcoming the obstacles of the ever-evolving information management and utilization industry"--Provided by publisher.
Author: Nicolas Vandeput
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110671123
Category : Business & Economics
Languages : en
Pages : 310
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Book Description
Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical "traditional" models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting—from the basics all the way to leading-edge models—will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Spyros Makridakis, professor at the University of Nicosia and director of the Institute For the Future (IFF); and Edouard Thieuleux, founder of AbcSupplyChain, discuss the general issues and challenges of demand forecasting and provide insights into best practices (process, models) and discussing how data science and machine learning impact those forecasts. The event will be moderated by Michael Gilliland, marketing manager for SAS forecasting software: https://youtu.be/1rXjXcabW2s
Author: Efstratios Nikolaidis
Publisher: CRC Press
ISBN: 0203483936
Category : Mathematics
Languages : en
Pages : 1216
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Book Description
Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini
