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I2I
  • Language: en
  • Pages: 382

I2I

  • Type: Book
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  • Published: 2018
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  • Publisher: Unknown

In this critical-virtual-auto/ethnographic-rhetorical analysis, I examine the what, the where, and the implications of the topoi of identity in online learning communities. Situated in the fields of rhetoric and professional communication, critical/cultural studies, and online pedagogy, I argue that more needs to be done to understand the body politics of identity and identification in distance education. In order to support and develop my argument, I trace the development of online pedagogy, situate and expound a theory of topoi identity, account for my methodology, discuss my observations, and consider the implications of my findings by searching for ethos.

Company Profiles: S I2i Limited
  • Language: en

Company Profiles: S I2i Limited

  • Type: Book
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  • Published: Unknown
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  • Publisher: Unknown

None

Statutory and Constitutional Provisions Relating to Impeachment in California, Tennessee, New York, and Ohio
  • Language: en
  • Pages: 30
Langlands & Bell
  • Language: en
  • Pages: 27

Langlands & Bell

  • Type: Book
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  • Published: 2007
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  • Publisher: Unknown

None

Electrical, Information Engineering and Mechatronics 2011
  • Language: en
  • Pages: 2079

Electrical, Information Engineering and Mechatronics 2011

As future generation electrical, information engineering and mechatronics become specialized and fragmented, it is easy to lose sight of the fact that many topics in these areas have common threads and, because of this, advances in one discipline may be transmitted to others. The 2011 International Conference on Electrical, Information Engineering and Mechatronics (EIEM 2011) is the first conference that attempts to follow the above idea of hybridization in electrical, information engineering, mechatronics and applications. This Proceedings of the 2011 International Conference on Electrical, Information Engineering and Mechatronics provides a forum for engineers and scientists to address the...

Set Theory
  • Language: en
  • Pages: 434

Set Theory

What is a number? What is infinity? What is continuity? What is order? Answers to these fundamental questions obtained by late nineteenth-century mathematicians such as Dedekind and Cantor gave birth to set theory. This textbook presents classical set theory in an intuitive but concrete manner. To allow flexibility of topic selection in courses, the book is organized into four relatively independent parts with distinct mathematical flavors. Part I begins with the Dedekind–Peano axioms and ends with the construction of the real numbers. The core Cantor–Dedekind theory of cardinals, orders, and ordinals appears in Part II. Part III focuses on the real continuum. Finally, foundational issue...

Abelian Groups
  • Language: en
  • Pages: 762

Abelian Groups

  • Type: Book
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  • Published: 2015-12-12
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  • Publisher: Springer

Written by one of the subject’s foremost experts, this book focuses on the central developments and modern methods of the advanced theory of abelian groups, while remaining accessible, as an introduction and reference, to the non-specialist. It provides a coherent source for results scattered throughout the research literature with lots of new proofs. The presentation highlights major trends that have radically changed the modern character of the subject, in particular, the use of homological methods in the structure theory of various classes of abelian groups, and the use of advanced set-theoretical methods in the study of un decidability problems. The treatment of the latter trend includ...

Generative Adversarial Networks and Deep Learning
  • Language: en
  • Pages: 286

Generative Adversarial Networks and Deep Learning

  • Type: Book
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  • Published: 2023-04-10
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  • Publisher: CRC Press

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various appl...

Game Theory
  • Language: en
  • Pages: 461

Game Theory

A guide to the fundamentals of game theory for undergraduates and MBA students.