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Soft Real-Time Systems: Predictability vs. Efficiency

assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption;

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Applied Soft Computing and Embedded System Applications in Solar Energy

-time monitoring of factors affecting the efficiency of the PV panels Offers real-time implementation of soft computing and embedded;

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Real-time Systems' Quality of Service

Real-time Systems' Quality of Service examines the attainability of efficiency, economy, and ease of use, which make up the quality;

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Mathematical Modeling of Swimming Soft Microrobots

Mathematical Modelling of Swimming Soft Microrobots presents a theoretical framework for modelling of soft microrobotic systems based on;

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Soft Systems Methodology in Action

thinking strongly linked to real-world practice Checkland and his collaborators developed an alternative approach - Soft Systems Methodology (SSM;

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Soft Systems Methodology In Action

thinking strongly linked to real-world practice Checkland and his collaborators developed an alternative approach - Soft Systems Methodology (SSM;

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Applied Soft Computing and Communication Networks

This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN;

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Soft Computing

This book discusses developments, methods and applications of soft computing. Chapter One depicts the increasing efficiency of the soft;

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Manufacturing Execution Systems - MES

requires real-time systems for optimization. Business-IT needs to be developed from telecommunications and ERP to real-time services, which are not;

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Advances in Harmony Search, Soft Computing and Applications

This book discusses various aspects of real-world applications of optimization algorithms, presenting insights from the 5th International;

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Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manufacturing System

of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy;

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Quantitative Analysis and Optimal Control of Energy Efficiency in Discrete Manuf

of global optimization. In order to analyze and optimize energy efficiency for discrete manufacturing systems, it uses real-time access to energy;

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Geometrical Dynamics of Complex Systems

have something in common: the underlying physics. However, instead of dealing with the pop- 1 ular 'soft complexity philosophy', we rather;

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Computational Intelligence for Decision Support in Cyber-Physical Systems

, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large;

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Optimal Power Flow Using FACTS Devices

Optimal Power Flow Using FACTS Devices: Soft Computing Techniques develops intelligent algorithms to analyze optimal power flow (OPF) and;

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eMaintenance

and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings;

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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation;

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Concurrent And Real-Time Programming In Ada

applications where reliability and efficiency are essential, particularly real-time and embedded systems. In this book, Alan Burns and Andy Wellings;

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Reliability Management and Engineering

Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book;

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Reliability Management and Engineering

Reliability technology plays an important role in the present era of industrial growth, optimal efficiency, and reducing hazards. This book;

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Time-Triggered Communication

applications, the authors illustrate the inherent benefits of time-triggered communication in terms of predictability, complexity management, fault;

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Soft Matters for Catalysts

nanostructures of catalysts and optimization of their organization have become key to achieving high efficiency and specificity in energy and material;

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Applications of Soft Computing

capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that;

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Nonlinear Dynamics and Statistics

uncertainty and error: the predictability of nonlinear systems * achieving good nonlinear models * delay reconstructions: dynamics vs;

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Predictability of Weather and Climate

The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that;

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Predictability of Weather and Climate

The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that;

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Soft Numerical Computing in Uncertain Dynamic Systems

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at;

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