Khan samee (48 Ergebnisse)

Zustand: New. In.

Zustand: New. In.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. In.

Hardcover. Zustand: Brand New. 2012 edition. 408 pages. 9.25x6.25x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Advances in Intelligent Modelling and Simulation | Artificial Intelligence-Based Models and Techniques in Scalable Computing | Joanna Ko¿odziej (u. a.) | Taschenbuch | Studies in Computational Intelligence | xxiv | Englisch | 2014 | Springer | EAN 9783642432613 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: Very Good. Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 4.4 lbs; Dark blue-gray covers with title in white lettering; 2015, Springer-Verlag Publishing; 1334 pages; "Handbook on Data Centers," by Samee U. Khan & Albert Y. Zomaya. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most challenging issues in today's large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under various types of users with evolving relationships fraught with uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergentdistributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One of the most challenging issues in today's large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under various types of users with evolving relationships fraught with uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergentdistributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 331 pages. 9.21x6.14x1.02 inches. In Stock.

Zustand: New. In.

Hardcover. Zustand: Brand New. 567 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. pp. 856.

Hardcover. Zustand: Brand New. 600 pages. 9.25x6.25x1.25 inches. In Stock.

Hardcover. Zustand: Brand New. 494 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. 2020. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Evolutionary Based Solutions for Green Computing | Samee Ullah Khan (u. a.) | Taschenbuch | Studies in Computational Intelligence | xx | Englisch | 2014 | Springer | EAN 9783642430664 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 1n Chapter 2: Theoretical foundations for recommender systemsn Chapter 3: Benchmarking big data recommendation algorithms using Ha.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 276 | Sprache: Englisch | Produktart: Bücher | This book examines issues related to energy usage and optimal low-cost system design in high performance green-computing systems. It offers complete coverage, from theory to applications, as well as outlines development trends and open research issues.…

Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 2n Chapter 2: Deep neural networks meet recommender systemsn Chapter 3: Cold-start solutions for recommendation systemsn .