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121-130 of 427 results in All results

Advanced Data Analysis and Modelling in Chemical Engineering

  • 1st Edition
  • August 23, 2016
  • Denis Constales + 4 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 9 4 8 5 - 3
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 9 4 8 4 - 6
Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development.

Up and Running with AutoCAD 2017

  • 1st Edition
  • August 18, 2016
  • Elliot J. Gindis
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 1 0 5 8 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 1 0 5 9 - 1
Up and Running with AutoCAD 2017: 2D and 3D Drawing and Modeling presents Gindis’ combination of step-by-step instruction, examples, and insightful explanations. The emphasis from the beginning is on core concepts and practical application of AutoCAD in engineering, architecture, and design. Equally useful in instructor-led classroom training, self-study, or as a professional reference, the book is written with the user in mind by a long-time AutoCAD professional and instructor based on what works in the industry and the classroom.

Resolving Spectral Mixtures

  • 1st Edition
  • Volume 30
  • August 13, 2016
  • Cyril Ruckebusch
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 3 6 3 8 - 6
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 6 4 4 - 7
Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem—from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades. Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups. Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging.

Machine Learning and Medical Imaging

  • 1st Edition
  • August 9, 2016
  • Guorong Wu + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 8 0 4 0 7 6 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 1 1 4 - 7
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Social Network Sites for Scientists

  • 1st Edition
  • July 22, 2016
  • Jose Luis Ortega
  • English
  • Paperback
    9 7 8 - 0 - 0 8 - 1 0 0 5 9 2 - 7
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 0 5 8 9 - 7
Social Network Sites for Scientists: A Quantitative Survey explores the newest social network sites (for example, ResearchGate and Academia.edu) and web bibliographic platforms (Mendeley, Zotero) that have recently emerged for the scholarly community to use in the interchange of information and documents. Chapters describe their main characteristics, what their advantages and limitations are, and the researchers that populate these websites. The surveys included in the book have been conducted following a quantitative approach, and measure the strength of the services provided by the sites in terms of use and activity. In addition, they also discuss the implications of new products in the future of scientific communication and their impact on research activities and evaluation.

OCEB 2 Certification Guide

  • 2nd Edition
  • July 15, 2016
  • Tim Weilkiens + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 5 3 5 2 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 0 9 8 4 - 7
OCEB 2 Certification Guide, Second Edition has been updated to cover the new version 2 of the BPMN standard and delivers expert insight into BPM from one of the developers of the OCEB Fundamental exam, offering full coverage of the fundamental exam material for both the business and technical tracks to further certification. The first study guide prepares candidates to take—and pass—the OCEB Fundamental exam, explaining and building on basic concepts, focusing on key areas, and testing knowledge of all critical topics with sample questions and detailed answers. Suitable for practitioners, and those newer to the field, this book provides a solid grounding in business process management based on the authors’ own extensive BPM consulting experiences.

Biostatistics and Computer-based Analysis of Health Data using R

  • 1st Edition
  • July 11, 2016
  • Christophe Lalanne + 1 more
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 0 8 8 - 1
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 1 1 7 5 - 1
Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With proposed applications and examples of commands following each chapter, this book allows readers to apply advanced statistical concepts to their own data and software.

Network Function Virtualization

  • 1st Edition
  • July 4, 2016
  • Ken Gray + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 2 1 1 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 2 3 4 3 - 3
Network Function Virtualization provides an architectural, vendor-neutral level overview of the issues surrounding the large levels of data storage and transmission requirements needed for today's companies, also enumerating the benefits of NFV for the enterprise. Drawing upon years of practical experience, and using numerous examples and an easy-to-understand framework, authors Tom Nadeau and Ken Gary discuss the relevancy of NFV and how it can be effectively used to create and deploy new services. Readers will learn how to determine if network function virtualization is right for their enterprise network, be able to use hands-on, step-by-step guides to design, deploy, and manage NFV in an enterprise, and learn how to evaluate all relevant NFV standards, including ETSI, IETF, Openstack, and Open Daylight.

Passive and Discrete Circuits

  • 1st Edition
  • Volume 2
  • June 23, 2016
  • R M MARSTON
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 1 9 8 - 7
Passive components and discrete devices form the bedrocks on which all modern electronic circuits are built. This Pocket Book is a single volume applications guide to the most popular and useful of these devices, containing 670 diagrams, tables and carefully selected practical circuits. Throughout the Pocket Book great emphasis is placed on practical user information and circuitry. All of the active devices used are modestly priced and readily available.The book is split into twenty chapters. The first three explain important practical features of the ranges of modern passive electrical components, including relays, meters, motors, sensors and transducers. Chapters 4 to 6 deal with the design ofpractical attenuators, filters, and 'bridge' circuits. The remaining fourteen chapters deal with specific types of discrete semiconductor device, including various types of diode, transistors, JFETs, MOSFETs, VMOS devices, UJTs, SCRs, TRIACs, and various optoelectronic devices. This easy-to-read, concise, highly practical and largely non-mathematical volume is aimed directly at engineers, technicians, students and competent experimenters who can build a design directly from a circuit diagram, and if necessary modify it to suit individual needs. Ray Marston is the author of the multi-volume series of Newnes Circuits Manuals. His magazine articles on circuit design appear regularly in a wide range of publications worldwide.

26th European Symposium on Computer Aided Process Engineering

  • 1st Edition
  • Volume 38
  • June 17, 2016
  • Zdravko Kravanja
  • English
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 4 4 4 - 3
26th European Symposium on Computer Aided Process Engineering contains the papers presented at the 26th European Society of Computer-Aided Process Engineering (ESCAPE) Event held at Portorož Slovenia, from June 12th to June 15th, 2016. Themes discussed at the conference include Process-product Synthesis, Design and Integration, Modelling, Numerical analysis, Simulation and Optimization, Process Operations and Control and Education in CAPE/PSE.

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