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Soft Computing Techniques for Type-2 Diabetes Data Classification

need a more accurate classification system for prediction of type-2 DM. Although, most of the above classification algorithms are efficient;

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Concepts of Soft Computing

works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also;

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Soft Computing Based Medical Image Analysis

. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and;

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The Epidemiology of Diabetes Mellitus

success, gathering recent information on international trends and data for diabetes mellitus. In particular, the book highlights the dramatic rise;

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Genetic Algorithms, Fuzzy Systems & Website Classification

; classification algorithms in handling noisy training data and meta data generation for automates web page classification.;

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Medical Management of Type 2 Diabetes

: Details on the newest agents for the treatment of type 2 diabetes Expanded information on pharmacological intervention Updated data on chronic;

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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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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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Type 2 Fuzzy Neural Networks and Their Applications

, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students;

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Handbook on Soft Computing for Video Surveillance

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles;

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Intelligent Systems

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used;

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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 and Its Applications, Volume One

, and it presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists;

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Soft Computing and Its Applications, Volume One

presents several experimental results on synthetic data and real-life data. The book provides a unified platform for applied scientists and;

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Soft Computing Applications

management, image processing and cryptanalysis. The term soft computing represents an umbrella term for computational techniques like fuzzy;

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Soft Computing and Its Applications, Volume Two

This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing;

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Soft Computing and Its Applications, Volume Two

This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing;

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Soft Computing Methods for System Dependability

been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within;

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Soft Computing Techniques and Applications

of applications, such as, data mining and fuzzy logic, soft computing techniques play an incomparable role, where it successfully handles contemporary;

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Recent Advances on Soft Computing and Data Mining

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Artificial Intelligence and Soft Computing

Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were;

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Type 2 Diabetes

patients with type 2 diabetes; ACP1 genetic variability; and the study of biomarkers for diabetes mellitus type 2 and the role of high dose;

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Cardiovascular Outcomes of Treatments available for Patients with Type 1 and 2 Diabetes, An Issue of Endocrinology and Metabolism Clinics of North America

of Treatments available for Patients with Type 1 and 2 Diabetes. Topics include--but are not limited to--Diabetes and CAD and PVD; Prediabetes and CVD;

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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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