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Algorithms For Analysis, Inference, And Control Of Boolean Networks

attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean;

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Boolean Logic, Expressions and Theories

The Boolean function network is a systematical approach proposed for the inference of gene regulatory networks and related Boolean;

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Modeling and Reasoning with Bayesian Networks

, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both;

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Modeling and Reasoning with Bayesian Networks

, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both;

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Lifeline Engineering Systems

analysis, network evaluation, and network design. The distinctive features involved in this book are the construction of theories and methods for;

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Lifeline Engineering Systems

analysis, network evaluation, and network design. The distinctive features involved in this book are the construction of theories and methods for;

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Analysis of Microarray Data: A Network-Based Approach

for Gene Regulation* Estimating Transcriptional Regulatory Networks by a Bayesian Network* Analysis of Therapeutic Compound Effects;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks

Learn the fundamental algorithms and protocols for wireless and mobile ad hoc networks Advances in wireless networking and mobile;

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Frequency-Domain Analysis and Design of Distributed Control Systems

This book presents a unified frequency-domain method for the analysis of distributed control systems. The following important topics are;

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Neural Networks for Cooperative Control of Multiple Robot Arms

is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.;

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Observer Design for Control and Fault Diagnosis of Boolean Networks

existence of state observers. In this thesis explicit and recursive methods have been developed for reconstructibility analysis. Then, an approach;

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Soft Starting of Induction Motors

) and adaptive neurofuzzy inference system (ANFIS) can enhance theperformance of the motor by making a control systemwhich would provide smooth;

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Bayesian Programming

Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental;

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Bayesian Programming

Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental;

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Distributed Control of Robotic Networks

for first- and second-year graduate students in control and robotics, the book will also be useful to researchers in control theory, robotics;

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Positive 1d and 2D Systems

of quantized sampled-data systems. Randomized Algorithms for Analysis and Control of Uncertain Systems will be of certain interest to control;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Boolean Functions

The essential guide showing how the unbounded delay model of computation of the Boolean functions may be used in the analysis of the;

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Principal Component Analysis Networks and Algorithms

in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic;

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Fuzzy Neural Networks for Real Time Control Applications

. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Distributed Optimization Advances in Theories Methods and Applications

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students;

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Elements of Distributed Algorithms

control and synchronization of two sites up to algorithms on any kind of networks. Numerous examples show that description and analysis;

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Second-Order Consensus of Continuous-Time Multi-Agent Systems

control protocols and algorithms solve problems in real world, second-order, multi-agent systems, including solutions for engineers in related;

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Intelligent Algorithms for Analysis and Control of Dynamical Systems

control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and;

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