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Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also;

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Hybrid Soft Computing Approaches

different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives;

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Soft Computing Based Medical Image Analysis

. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an;

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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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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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Applied Soft Computing

It explores a variety of modern applications in soft computing, including bioinspired computing, reconfigurable computing, fuzzy logic;

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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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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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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as;

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Cognitive Informatics and Soft Computing

hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based;

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Pattern Recognition Algorithms for Data Mining

generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms;

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Pattern Recognition Algorithms for Data Mining

generation and evaluation. This volume presents various theories, methodologies, and algorithms, using both classical approaches and hybrid paradigms;

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Component-Based Systems

-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer;

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Component-Based Systems

-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer;

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Cognitive Informatics and Soft Computing

fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and;

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Supervised Sequence Labelling with Recurrent Neural Networks

connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are;

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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Soft Computing Techniques for Engineering Optimization

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an;

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Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand;

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Optical Character Recognition Systems for Different Languages with Soft Computing

are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models;

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Soft Computing in the Design and Manufacturing of Composite Materials

intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an;

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Advances in Integrations of Intelligent Methods

can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural;

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Advances in Integrations of Intelligent Methods

can be more easily solved with integrated or hybrid methods, such as combinations of different soft computing methods (fuzzy logic, neural;

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

influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than;

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