Khoshgoftaar taghi (52 risultati)

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Condizione: Used. pp. 376 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condizione: Used. pp. 376.

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Condizione: New. In English.

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Taschenbuch. Condizione: Neu. Deep Learning Applications, Volume 2 | M. Arif Wani (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xii | Englisch | 2021 | Springer | EAN 9789811567612 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: New. The software engineering field has observed an increased integration with the Computational Intelligence (CI) field, which is comprised of the mature technologies of fuzzy logic, artificial neural networks and rough sets. This book contains contributions that focus on applying CI techniques to address various software engineering problems. Editor(s): Khoshgoftaar, Taghi M. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 361 pages, biography. BIC Classification: UG; UMZ; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 22. Weight in Grams: 703. . 2003. Hardback. . . . .…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet these and other continuously growing challenges by developing and implementing useful software engineering methodologies. Among the more recent advances are those made in the context of software portability, formal verification techniques, software measurement, and software reuse. However, despite the introduction of some important and useful paradigms in the software engineering discipline, their technological transfer on a larger scale has been extremely gradual and limited. For example, many software development organizations may not have a well-defined software assurance team, which can be considered as a key ingredient in the development of a high-quality and dependable software product. Recently, the software engineering field has observed an increased integration or fusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorithms, genetic programming, and rough sets. Hybrid systems that combine two or more of these individual technologies are also categorized under the Cl umbrella. Software engineering is unlike the other well-founded engineering disciplines, primarily due to its human component (designers, developers, testers, etc. ) factor. The highly non-mechanical and intuitive nature of the human factor characterizes many of the problems associated with software engineering, including those observed in development effort estimation, software quality and reliability prediction, software design, and softwaretesting.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. …

Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condizione: New. pp. 376.

Gebunden. Condizione: New. The constantly evolving technological infrastructure of the modem world presents a great challenge of developing software systems with increasing size, complexity, and functionality. The software engineering field has seen changes and innovations to meet th.

Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.