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Data Analytics for Drilling Engineering, Qilong Xue


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Цена: 23757.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Qilong Xue   (Цилон Сю)
Название:  Data Analytics for Drilling Engineering
Перевод названия: Цилон Сю: Аналитика данных для бурения
ISBN: 9783030340346
Издательство: Springer
Классификация:






ISBN-10: 3030340341
Обложка/Формат: Hardcover
Страницы: 312
Вес: 0.66 кг.
Дата издания: 31.12.2019
Серия: Information fusion and data science
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 101 illustrations, color; 48 illustrations, black and white; xiii, 312 p. 149 illus., 101 illus. in color.
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Подзаголовок: Theory, algorithms, experiments, software
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them.


Analysis and Control of Oilwell Drilling Vibrations

Автор: Martha Belem Saldivar M?rquez; Islam Boussaada; Hu
Название: Analysis and Control of Oilwell Drilling Vibrations
ISBN: 3319157469 ISBN-13(EAN): 9783319157467
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems.

Analysis and Control of Oilwell Drilling Vibrations

Автор: Martha Belem Saldivar M?rquez; Islam Boussaada; Hu
Название: Analysis and Control of Oilwell Drilling Vibrations
ISBN: 3319386344 ISBN-13(EAN): 9783319386348
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book reports the results of exhaustive research work on modeling and control of vertical oil well drilling systems.

Hole-making and Drilling Technology for Composites

Автор: Abdullah, Ahmad
Название: Hole-making and Drilling Technology for Composites
ISBN: 0081023979 ISBN-13(EAN): 9780081023976
Издательство: Elsevier Science
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Цена: 31160.00 р.
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Описание:

Hole-making and Drilling Technology for Composites: Advantages, Limitations and Potential presents the latest information on hole-making, one of the most commonly used processes in the machining of composites. The book provides practical guidance on hole-making and drilling technology and its application in composite materials and structures. Chapters are designed via selected case studies to identify the knowledge gap in hole-making operations in composites and to highlight the deficiencies of current methods. The book documents the latest research, providing a better understanding of the pattern and characterization of holes produced by various technologies in composite materials.

It is an essential reference resource for academic and industrial researchers and professional involved in the manufacturing and machining of composites. In addition, it is ideal for postgraduate students and designers working on the design and fabrication of polymeric composites in automotive and aerospace applications.

  • Features updated information on the most relevant hole-drilling methods and their potential in aircraft and other structural applications
  • Features practical guidance for the end user on how to select the most appropriate method when designing fiber-reinforced composite materials
  • Demonstrates systematic approaches and investigations on the design, development and characterization of 'composite materials'
Metal and Bone Drilling - The Thermal Aspects

Автор: Albert J. Shih; Bruce L. Tai; Rui Li
Название: Metal and Bone Drilling - The Thermal Aspects
ISBN: 3030260461 ISBN-13(EAN): 9783030260460
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book introduces state-of-the-art experimental and numerical methods and examples for evaluating the drilling performance of engineering and biological materials, particularly in thermal aspects. The authors use a common pathway to present the technological and analytical methods for both industry (metal) drilling and orthopaedic surgery (bone) drilling research, making this book a resource for both industrial and clinical readers who wish to understand the evolution of technologies, techniques and challenges in drilling. The authors also focus on advanced engineering materials, such as titanium alloys and high-strength cast irons, which have broad applications in the automotive, aerospace, medical device and sports industries. This book is a must-read for a broad audience, including engineering students in upper-level undergraduate and graduate courses that involve machining processes; for surgery residents, fellows, and practicing surgeons; and for engineers in the medical device industry who develop new bone cutting tools.Bridges the knowledge on drilling from the manufacturing industry to healthcare;Covers the experimental and modeling aspects of drilling thermal analysis;Includes experimental studies that contain parameters and data that emulate practical production and clinical drilling.

Drilling Mud and Cement Slurry Rheology Manual

Автор: Comit? des Techniciens, Chambre Syndicale de la Re
Название: Drilling Mud and Cement Slurry Rheology Manual
ISBN: 9401092486 ISBN-13(EAN): 9789401092487
Издательство: Springer
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Цена: 13060.00 р.
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Big Data Analytics for Satellite Image Processing and Remote Sensing

Автор: P. Swarnalatha, Prabu Sevugan
Название: Big Data Analytics for Satellite Image Processing and Remote Sensing
ISBN: 1522536434 ISBN-13(EAN): 9781522536437
Издательство: Mare Nostrum (Eurospan)
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Цена: 31324.00 р.
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Описание: The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Big Data Analytics: Systems, Algorithms, Applications

Автор: C.S.R. Prabhu; Aneesh Sreevallabh Chivukula; Adity
Название: Big Data Analytics: Systems, Algorithms, Applications
ISBN: 9811500932 ISBN-13(EAN): 9789811500930
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Поставка под заказ.

Описание:

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy.
With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.
In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition.
Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.
Advanced Data Analytics in Health

Автор: Giabbanelli
Название: Advanced Data Analytics in Health
ISBN: 3319779109 ISBN-13(EAN): 9783319779102
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.

Internet of Things and Big Data Analytics for Smart Generation

Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve
Название: Internet of Things and Big Data Analytics for Smart Generation
ISBN: 3030042022 ISBN-13(EAN): 9783030042028
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Intelligent Data Mining in Law Enforcement Analytics

Автор: Paolo Massimo Buscema; William J. Tastle
Название: Intelligent Data Mining in Law Enforcement Analytics
ISBN: 9400796013 ISBN-13(EAN): 9789400796010
Издательство: Springer
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Цена: 29209.00 р.
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Описание: In this thorough review of cutting-edge methods in law-enforcement data mining, the authors bring the latest research on artificial intelligence to life with chapters on key neural network developments in law enforcement that make criminality more foreseeable.

Data Analytics and Learning: Proceedings of Dal 2018

Автор: Nagabhushan P., Guru D. S., Shekar B. H.
Название: Data Analytics and Learning: Proceedings of Dal 2018
ISBN: 9811325138 ISBN-13(EAN): 9789811325137
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30–31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike.

Big Data Analytics

Автор: Pyne
Название: Big Data Analytics
ISBN: 8132236262 ISBN-13(EAN): 9788132236269
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.


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