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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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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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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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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 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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Proceedings of the Second International Conference on Information Management and

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

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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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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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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Deep Learning for Personalized Healthcare Services

, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language;

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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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Thinking Machines

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic;

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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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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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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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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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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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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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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were;

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Introduction to Machine Learning with Applications in Information Security

wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and;

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Pattern Recognition and Machine Intelligence

analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.;

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Artificial Intelligence for the Internet of Health Things

applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization;

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