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Computational Intelligence-based Time Series Analysis

prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a;

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Computational Intelligence Techniques for Trading and Investment

challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The;

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Theory and Applications of Time Series Analysis

; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Theory and Applications of Time Series Analysis

in Granada, Spain, on September 19-21, 2018. The first three parts of the book focus on the theory of time series analysis and forecasting, and;

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Neural Information Processing Part I

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part II

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part III

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Neural Information Processing Part IV

; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological;

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Advances in Computational Intelligence

; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer;

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Computational Intelligence in Image Processing

Computational intelligence based techniques have firmly established themselves as viable, alternate, mathematical tools for more than a;

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact;

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Computational Collective Intelligence

submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational;

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Computational Collective Intelligence

submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational;

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Trends in Mathematics and Computational Intelligence

intelligence based on subsymbolic knowledge representation. Important research topics are focused on developing the interaction between computational;

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Computational Intelligence in Data Science

intelligence for text analysis; computational intelligence for image and video analysis; and data science.;

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Computational Methods With Applications in Bioinformatics Analysis

, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence;

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Hybrid Machine Intelligence for Medical Image Analysis

the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;

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Computational Intelligence

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence;

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