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Artificial Intelligence Methods for Optimization of the Software Testing Process

Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents;

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Artificial Intelligence

in developing solutions in the field of computer science. Some of the tools used in the process are search and optimization, probabilistic methods for;

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Intelligent Network Management and Control- Intel Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles,Intelligent Radio

better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio;

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Contemporary Artificial Intelligence

Artificial intelligence is the field of computer science that is concerned with creation and design of software and machines exhibiting;

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Simulation and Testing for Vehicle Technology

model design for engines, motors, powertrain, undercarriage and the whole vehicle; new simulation tools, methods and optimization processes;

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Artificial Neural Network Applications for Software Reliability Prediction

during testing phase as well as early phases of software development process are presented. Applications of artificial neural network for the;

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Applied Optimization and Swarm Intelligence

intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for;

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Artificial Intelligence in Power System Optimization

of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric;

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Artificial Intelligence In Highway Location And Alignment Optimization

genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the;

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Economic Modeling Using Artificial Intelligence Methods

Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data;

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Artificial Intelligence for Autonomous Networks

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities;

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Artificial Intelligence for Autonomous Networks

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Swarm Intelligence

, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The book begins with a brief introduction to;

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Applications of Artificial Intelligence in Process Systems Engineering

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial;

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Artificial Intelligence

, statistics etc. This book unfolds the innovative aspects of artificial intelligence which will be crucial for the progress of this field in the;

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Logic-Based Methods for Optimization

unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating;

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Advances in Structural Engineering-Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and;

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Advances in Structural Engineering Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and;

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Artificial Intelligence and the Future of Testing

activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors;

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Artificial Intelligence and the Future of Testing

activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors;

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Complex Intelligent Systems and Their Applications

, and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and;

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Advances in Swarm Intelligence, Part I

. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization;

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Optimization Methods For Logical Inference

techniques for logic inference problems, Chandru and Hooker show how optimization models can be used not only to solve problems in artificial;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

swarm optimization, artificial bee colony optimization, and cuckoo search algorithm. The design and analysis of these algorithms is studied by;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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