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Pathways to Machine Learning and Soft Computing

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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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Advances in Machine Learning and Computational Intelligence

April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include;

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Applied Soft Computing

, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms;

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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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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Soft Computing and Signal Processing

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third;

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Soft Computing Systems

organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data;

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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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Soft Computing and Signal Processing

The book presents selected research papers on current developments in the field of soft computing and signal processing from the;

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16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)

sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft;

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019

This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;

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ICDSMLA 2019

. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human-Computer Interaction;

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Concepts of Soft Computing

This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation;

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Genetic and Evolutionary Computing

including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security;

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

find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and;

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Pattern Recognition And Big Data

, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data;

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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization;

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Soft Computing in Data Science

organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics;

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

This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as;

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Scalable Pattern Recognition Algorithms

This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously;

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Recent Studies on Computational Intelligence

, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing;

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Information Management and Machine Intelligence

; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT;

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Advances on Smart and Soft Computing

, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel;

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Soft Computing for Knowledge Discovery

computing perspective. It focuses on knowledge representation, machine learning, and the key methodologies that make up the fabric of soft;

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Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010)

applications fields. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some;

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