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Advanced Intelligence Methods for Data Science and Optimization, Edited by Amir Hossein Gandomi, University of Tech


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Автор: Edited by Amir Hossein Gandomi, University of Tech
Название:  Advanced Intelligence Methods for Data Science and Optimization
ISBN: 9780443289408
Издательство: Elsevier Science
Классификация:



ISBN-10: 0443289409
Обложка/Формат: Paperback
Страницы: 250
Вес: 0.45 кг.
Дата издания: 01.12.2025
Размер: 235 x 191
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains.It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.
Дополнительное описание: Provides comprehensive coverage of advanced intelligence methodsIncludes real-world examples and case studies that illustrate the application of these methods across a wide range of fieldsBegins with an introduction to Deep Learning concepts and quickly m



Data-driven science and engineering

Автор: Brunton, Steven L. (university Of Washington) Kutz
Название: Data-driven science and engineering
ISBN: 1009098489 ISBN-13(EAN): 9781009098489
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB (R), new chapters on reinforcement learning and physics-informed machine learning, and supplementary videos and code.

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization

Автор: Kaveh
Название: Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization
ISBN: 3031134311 ISBN-13(EAN): 9783031134319
Издательство: Springer
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Цена: 13974.00 р.
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Application of Advanced Optimization Techniques for Healthcare Analytics

Автор: Abdel-Basset, Mohamed
Название: Application of Advanced Optimization Techniques for Healthcare Analytics
ISBN: 1032351586 ISBN-13(EAN): 9781032351582
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimization techniques which can readily be applied to solve different hospital management problems. The healthcare system is currently a topic of significant investigation to make life easier for those who are disabled, old, or sick, as well as for young children. The emphasis of the healthcare system has evolved throughout time due to several emerging beneficial technologies, such as personal digital assistants (PDAs), data mining, the internet of things, metaheuristics, fog computing, and cloud computing.Metaheuristics are strong technology for tackling several optimization problems in various fields, especially healthcare systems. The primary advantage of metaheuristic algorithms is their ability to find a better solution to a healthcare problem and their ability to consume as little time as possible. In addition, metaheuristics are more flexible compared to several other optimization techniques. These algorithms are not related to a specific optimization problem but could be applied to any optimization problem by making some small adaptations to become suitable to tackle it.The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable optimization approach when making decisions to schedule patients under crowding environments with minimized human errors.

Computational Optimization, Methods and Algorithms

Автор: Slawomir Koziel; Xin-She Yang
Название: Computational Optimization, Methods and Algorithms
ISBN: 3662520044 ISBN-13(EAN): 9783662520048
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization.

Multiobjective Heuristic Search

Автор: Wolfgang Bibel; Pallab Dasgupta; Rudolf Kruse; P.
Название: Multiobjective Heuristic Search
ISBN: 3528057084 ISBN-13(EAN): 9783528057084
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Solutions to most real-world optimization problems involve a trade-offbetween multiple conflicting and non-commensurate objectives. Some ofthe most challenging ones are area-delay trade-off in VLSI synthesisand design space exploration, time-space trade-off in computation, andmulti-strategy games.

Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

Автор: Bart?omiej Jacek Kubica
Название: Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems
ISBN: 3030137945 ISBN-13(EAN): 9783030137946
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamical systems theory, and others. Three appendices, on the notation, representation of numbers used as intervals’ endpoints, and sample implementations of the interval data type in several programming languages, round out the coverage.

Computational Intelligence and Optimization Methods for Control Engineering

Автор: Maude Jos?e Blondin; Panos M. Pardalos; Javier San
Название: Computational Intelligence and Optimization Methods for Control Engineering
ISBN: 3030254453 ISBN-13(EAN): 9783030254452
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.

Computational Intelligence and Optimization Methods for Control Engineering

Автор: Blondin Maude Josйe, Pardalos Panos M., Sanchis Sбez Javier
Название: Computational Intelligence and Optimization Methods for Control Engineering
ISBN: 3030254488 ISBN-13(EAN): 9783030254483
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume presents some recent and principal developments related to computational intelligence and optimization methods in control.

Artificial intelligence methods for optimization of the software testing process

Автор: Tahvili, Sahar (operations Team Leader, Ericsson Ab And Researcher, Malardalen University, Vasteras, Sweden) Hatvani, Leo (lecturer, Malardalen Univer
Название: Artificial intelligence methods for optimization of the software testing process
ISBN: 0323919138 ISBN-13(EAN): 9780323919135
Издательство: Elsevier Science
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Цена: 19370.00 р.
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Описание: This all-new Pathfinder (R) Guide covers two stunning island destinations in one unique volume - In Orkney, eight walks feature on the largest island, Mainland, with another six located on Hoy, Rousay and South Ronaldsay. In Shetland, seven routes explore Mainland, with seven more rambles on Bressay, Mousa, St Ninian`s Isle, Unst, West Burra and Y

Intelligence Optimization for Green Scheduling in Manufacturing Systems

Автор: Lu
Название: Intelligence Optimization for Green Scheduling in Manufacturing Systems
ISBN: 9819969867 ISBN-13(EAN): 9789819969869
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications.

Emerging Research On Swarm Intelligence And Algorithm Optimization

Автор: Shi
Название: Emerging Research On Swarm Intelligence And Algorithm Optimization
ISBN: 1466663286 ISBN-13(EAN): 9781466663282
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence.>Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Modeling and Processing for Next-Generation Big-Data Technologies

Автор: Fatos Xhafa; Leonard Barolli; Admir Barolli; Petra
Название: Modeling and Processing for Next-Generation Big-Data Technologies
ISBN: 331909176X ISBN-13(EAN): 9783319091761
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics.


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