Advances in Engineering Research and Application, Hamido Fujita; Duy Cuong Nguyen; Ngoc Pi Vu; Tien

Автор: Kai-Uwe Sattler; Duy Cuong Nguyen; Ngoc Pi Vu; Ban
Название: Advances in Engineering Research and Application
ISBN: 3030374963 ISBN-13(EAN): 9783030374969
Издательство: Springer
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Цена: 186330.00 T
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Описание: This proceedings volume gathers the outcomes of the International Conference on Engineering Research and Applications (ICERA 2019), which was held at Thai Nguyen University of Technology, Vietnam, on December 1–2, 2019 and provided an international forum for disseminating the latest theories and practices in engineering research and applications. The conference focused on original research work in a broad range of areas, including Mechanical Engineering, Materials and Mechanics of Materials, Mechatronics and Micromechatronics, Automotive Engineering, Electrical and Electronics Engineering, and Information and Communication Technology. By sharing the latest advances in these fields, the book will help academics and professionals alike to revisit their thinking on sustainable development.

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Автор: Hendrik Richter; Andries Engelbrecht
Название: Recent Advances in the Theory and Application of Fitness Landscapes
ISBN: 3642418872 ISBN-13(EAN): 9783642418877
Издательство: Springer
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Цена: 191560.00 T
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Описание: This book examines recent advances in the theory and application of fitness landscapes in evolutionary biology and evolutionary computation.

Автор: Hendrik Richter; Andries Engelbrecht
Название: Recent Advances in the Theory and Application of Fitness Landscapes
ISBN: 3662510650 ISBN-13(EAN): 9783662510650
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book examines recent advances in the theory and application of fitness landscapes in evolutionary biology and evolutionary computation.

Автор: Dash Sujata, Tripathy B. K., Rahman Atta Ur
Название: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
ISBN: 1522528571 ISBN-13(EAN): 9781522528579
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
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Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Автор: Tomasz Pe?ech-Pilichowski; Maria Mach-Kr?l; Celina
Название: Advances in Business ICT: New Ideas from Ongoing Research
ISBN: 3319472070 ISBN-13(EAN): 9783319472072
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book discusses the effective use of modern ICT solutions for business needs, including the efficient use of IT resources, decision support systems, business intelligence, data mining and advanced data processing algorithms, as well as the processing of large datasets (inter alia social networking such as Twitter and Facebook, etc.). The ability to generate, record and process qualitative and quantitative data, including in the area of big data, the Internet of Things (IoT) and cloud computing offers a real prospect of significant improvements for business, as well as the operation of a company within Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge representation, management and processing, quantitative and qualitative data processing (including sentiment analysis), problems of simulation performance, and the use of advanced signal processing to increase the speed of computation. The solutions presented are also aimed at the effective use of business process modeling and notation (BPMN), business process semantization and investment project portfolio selection. It is a valuable resource for researchers, data analysts, entrepreneurs and IT professionals alike, and the research findings presented make it possible to reduce costs, increase the accuracy of investment, optimize resources and streamline operations and marketing.

Автор: Zhigang Zeng; Jun Wang
Название: Advances in Neural Network Research and Applications
ISBN: 3642129897 ISBN-13(EAN): 9783642129896
Издательство: Springer
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Цена: 261210.00 T
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Описание: Including contributions from the world`s leading researchers in the field, this volume is made up of top-quality peer-reviewed papers that were some of the submissions to the seventh International Symposium on Neural Networks, held in China in 2010.

Автор: Ignacio Chang; Jos? Baca; H?ctor A. Moreno; Isela
Название: Advances in Automation and Robotics Research in Latin America
ISBN: 3319543768 ISBN-13(EAN): 9783319543765
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book contains the proceedings of the 1st Latin American Congress on Automation and Robotics held at Panama City, Panama in February 2017. These topics are related to control algorithms, systems automation, perception, mobile robotics, computer vision, educational robotics, robotics modeling and simulation, and robotics and mechanism design.

Автор: Boris Kryzhanovsky; Witali Dunin-Barkowski; Vladim
Название: Advances in Neural Computation, Machine Learning, and Cognitive Research
ISBN: 3319666037 ISBN-13(EAN): 9783319666037
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning.

Автор: Zhigang Zeng; Jun Wang
Название: Advances in Neural Network Research and Applications
ISBN: 3662519887 ISBN-13(EAN): 9783662519882
Издательство: Springer
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Цена: 217670.00 T
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Описание: Including contributions from the world`s leading researchers in the field, this volume is made up of top-quality peer-reviewed papers that were some of the submissions to the seventh International Symposium on Neural Networks, held in China in 2010.

Автор: Laukaitis
Название: Recent Advances in Technology Research and Education
ISBN: 3319998331 ISBN-13(EAN): 9783319998336
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents the proceedings of the 17th International Conference on Global Research and Education, Inter-Academia 2018 held in Kaunas, Lithuania on 24-27 September 2018.

Автор: Luis Chase
Название: Uncertainty Quantification: Advances in Research and Applications
ISBN: 1536148628 ISBN-13(EAN): 9781536148626
Издательство: Nova Science
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Цена: 77080.00 T
Наличие на складе: Невозможна поставка.
Описание: In recent times, polynomial chaos expansion has emerged as a dominant technique to determine the response uncertainties of a system by propagating the uncertainties of the inputs. In this regard, the opening chapter of Uncertainty Quantification: Advances in Research and Applications, an intrusive approach called Galerkin Projection as well as non-intrusive approaches (such as pseudo-spectral projection and linear regression) are discussed.Next, the authors introduce a new methodology to determine the uncertainties of input parameters using CIRCE software to overcome the reliance on expert judgment. The goal is to determinate and evaluate the uncertainty bounds for physical models related to reflood model of MARS-KS code Vessel module (coupled with COBRA-TF) using both CIRCE and the experimental data of FEBA.Lastly, uncertainties related to rheological model parameters of skeletal muscles are modeled and analyzed, and available data are acquired and fused for hyperelastic constitutive model parameters with Neo-Hookean and Mooney-Rivlin formulations.