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Tuning Innovation with Biotechnology

approaches optimal intelligent tuning using a hybrid genetic algorithm-particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for;

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Hybrid Feedback Control

continuously, but the control algorithm toggles the heater on or off intermittently, triggering a discrete jump within the algorithm. Hybrid control;

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Intelligent Control of Connected Plug-in Hybrid Electric Vehicles

Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for;

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A Simulated Framework for the Teaching of Distributed Algorithms

A spectrum of algorithm animation systems has evolved for the teaching and learning of distributed algorithms. These have ranged from;

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Predicting IP Addresses to Speed up Routing Lookup

addresses. We showed how we collected real IP addresses from data traffic in a backbone router. We compared the previous replacement algorithms;

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Solar Hybrid Systems

growing need for hybrid systems. The authors use real-life examples to explain the disadvantages of solar systems without hybridization and to;

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Real-Time Heterogeneous Video Transcoding for Low-Power Applications

This book introduces a novel transcoding algorithm for real time video applications, designed to overcome inter-operability problems;

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Mathematical Optimization Terminology

vector regression. This book also discusses about gradient-based cuckoo search for global optimization, a hybrid cuckoo search algorithm;

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Hybrid Dynamical Systems

dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital;

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Optimal Control of Hybrid Vehicles

: * a control strategy for a micro-hybrid power train; * experimental results obtained with a real-time strategy implemented in a hybrid;

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Genetic Algorithms, Fuzzy Systems & Website Classification

This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics;

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Hybrid Metaheuristics

illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such;

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Fault Diagnosis of Hybrid Dynamic and Complex Systems

economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the;

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Additive Manufacturing Hybrid Processes for Composites Systems

-objective optimisation algorithm that matches the recent curved adaptive slicing method with a new transversal scheme; * hAM parameters, real-time;

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Fundamentals of Brooks Iyengar Distributed Sensing Algorithm

book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors;

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Fundamentals of Brooks-Iyengar Distributed Sensing Algorithm

book exemplifies how the algorithm has enhanced new real-time features by adding fault-tolerant capabilities for many applications. The authors;

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Metaheuristic Optimization

-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;

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New Developments in Surveillance Systems & National Security

in maintaining security. This book discusses different types and forms of cybercrimes; security in medical institutions; real-time surveillance; biofocal;

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Hybrid Machining

Hybrid Machining: Theory, Methods, and Case Studies covers the scientific fundamentals, techniques, applications and real-world;

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Formal Modeling and Analysis of Timed Systems

32 initial submissions. They are organized in topical sections entitled: modeling timed phenomena; stochasticity and hybrid control; real;

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Real Time Computing with the Parareal Algorithm

This work presents and evaluates a particular algorithm used for the real time computations of time dependent ordinary and partial;

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System Identification Of Internal Model Control

for controlling time-delayed plants. Using of two algorithms Least square & Genetic algorithm designed the new internal model controller, the;

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High Level Transition Systems of CSP Specifications

synchronisation terms have been developed, which can directly be used for real-time testing. To enable real-time testing with unnormalised graphs, an on;

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Neural Fuzzy Control Systems With Structure And Parameter Learning

author recommends two complementary structure/parameter learning algorithms: a two-phase hybrid learning algorithm and an on-line supervised;

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Electric and Hybrid Vehicles

An advanced level introductory book covering fundamental aspects, design and dynamics of electric and hybrid electric vehicles There;

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