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Soft Computing Methods for System Dependability

system dependability. Soft Computing Methods for System Dependability is a collection of innovative research on the applications of these;

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Complex Systems and Dependability

of dependability research as system modelling, tools and methodologies for system analysis, data security, secure system design and specific dependability;

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Machine Intelligence and Soft Computing

computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing;

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Fundamentals of Dependable Computing for Software Engineers

Fundamentals of Dependable Computing for Software Engineers presents the essential elements of computer system dependability. The book;

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Fundamentals of Dependable Computing for Software Engineers

Fundamentals of Dependable Computing for Software Engineers presents the essential elements of computer system dependability. The book;

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Soft Computing

Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks;

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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing

pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays;

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Nature-Inspired Computing Paradigms in Systems

and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability;

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High Performance Programming for Soft Computing

This book examines the present and future of soft computer techniques. It explains how to use the latest technological tools, such as;

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Applied Soft Computing and Embedded System Applications in Solar Energy

Applied Soft Computing and Embedded System Applications in Solar Energy deals with energy systems and soft computing methods from a wide;

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Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.;

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Soft Computing Implementation of Automatic Speech Recognition

This work assimilates an introduction to the Human speech production system, Fundamentals of speech recognition, the methods for data;

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Speech Processing and Soft Computing

Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods;

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Soft Computing in Chemical and Physical Sciences

This book can be regarded as 'Soft computing for physicists and chemists self-taught'. It prepares the readers with a solid background;

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Soft Computing for Problem Solving

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This;

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Soft Computing for Problem Solving

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This;

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Applied Soft Computing

, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI;

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Soft Computing in Wireless Sensor Networks

Sensor Network. This kind of system has been emerging as the cornerstone technology for all new smart devices and its direct application in many;

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Analysis And Design Of Intelligent Systems Using Soft Computing Techniques

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing;

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Soft Computing in Electromagnetics

Soft computing techniques are emerging as an important tool in solving design, performance and optimisation problems in electromagnetics;

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Application of Soft Computing and Intelligent Methods in Geophysics

This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural;

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Soft Computing and Its Applications, Volume Two

and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for;

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Soft Computing and Its Applications, Volume Two

and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for;

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Soft Computing in Engineering

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which;

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Soft Computing in Engineering

Soft computing methods such as neural networks and genetic algorithms draw on the problem solving strategies of the natural world which;

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Soft Computing for Knowledge Discovery and Data Mining

is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing;

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Soft Computing

Soft computing refers to a collection of computational techniques in computer science, artificial intelligence, machine learning and some;

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