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Radio Access Network Dimensioning for 3G UMTS

analytical models allow efficient and accurate dimensioning for different evolutions of UMTS radio access technologies.;

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Analytical Models and Efficient Dimensioning Algorithms

. Analytical models and efficient dimensioning algorithms are then proposed for different Scenarios.;

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Modelling And Dimensioning Of Mobile Wireless Networks

analytical models that make the analysis and dimensioning of the most important interfaces, i.e. WCDMA or Iub, possible. Furthermore, the authors;

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Cognitive Radio Networks Optimization with Spectrum Sensing Algorithms

In recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the efficient utilization of the;

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Theory of Dimensioning

Encompassing a wide range of mathematical concepts, this text/reference presents a comprehensive theory of dimensioning and parameterizing;

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Bistatic SAR / GISAR / FISAR Geometry, Signal Models and Imaging Algorithms

, inverse synthetic aperture and forward scattering radars from the point of view of analytical geometrical and signal formation as well as;

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Efficient Multirate Teletraffic Loss Models Beyond Erlang

A comprehensive study in efficient multi-rate teletraffic loss models used for designing, performance analysis, and optimization of systems;

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Multi-run Memory Tests for Pattern Sensitive Faults

for design and implementation of efficient multi-run tests; Demonstrates methods verified by analytical and experimental investigations.;

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Multi-run Memory Tests for Pattern Sensitive Faults

for design and implementation of efficient multi-run tests; Demonstrates methods verified by analytical and experimental investigations.;

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Algorithms and Complexity

This first part presents chapters on models of computation, complexity theory, data structures, and efficient computation in many;

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Hands-On Ensemble Learning with R

machine learning algorithms can be combined to reduce common problems and build simple efficient ensemble models with the help of real-world;

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Mastering Machine Learning with scikit-learn -

and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book;

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Power Plant Synthesis

Power Plant Synthesis provides an integrated approach to the operation, analysis, simulation, and dimensioning of power plants for;

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Resource Efficient LDPC Decoders

efficient LDPC decoders in hardwareCompanion website containing C-Programs and MATLAB models for simulating the algorithms, and Verilog HDL;

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Metalearning

Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine;

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Lte Backhaul

The aim of this book is to enable network planners to realize and maintain cost efficient LTE backhaul networks, which meet the necessary;

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Introduction to Scheduling

also proves that efficient schedules can be derived in the context of steady-state scheduling. Subsequent chapters discuss scheduling large and;

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Introduction to Scheduling

Full of practical examples, Introduction to Scheduling presents the basic concepts and methods, fundamental results, and recent;

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Inelastic Analysis of Solids and Structures

observations and principles of mechanics, and efficient computational algorithms for stress calculations as typically performed in finite element;

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Distributions in Stochastic Network Models

of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation algorithms besides of the;

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Position Location Techniques and Applications

and the design of efficient positioning algorithms, enabling the creation of future location positioning systems Provides a;

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Energy Efficient Data Centers

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Energy Efficient Data;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and;

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Design & Analysis of Wireless Networks

develop more efficient and reliable wireless networks and effectively model them using analytical models or simulation models remains a hot;

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Markov Models for Pattern Recognition

This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient;

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Optimization Models and Methods for Equilibrium Traffic Assignment

of nonlinear optimization program. The most efficient solution algorithms related to the problem are based on its structural features and practical;

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Optimization Models and Methods for Equilibrium Traffic Assignment

of nonlinear optimization program. The most efficient solution algorithms related to the problem are based on its structural features and practical;

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