Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making
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Published By Springer International Publishing

9783030264734, 9783030264741

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System Development for Video Stream Data Analyzing

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_23 ◽

2019 ◽

pp. 315-331 ◽

Cited By ~ 4

Author(s):

Vasyl Lytvyn ◽

Victoria Vysotska ◽

Vladyslav Mykhailyshyn ◽

Antonii Rzheuskyi ◽

Sofiia Semianchuk

Keyword(s):

System Development ◽

Video Stream ◽

Stream Data

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Binary Classification of Fractal Time Series by Machine Learning Methods

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_49 ◽

2019 ◽

pp. 701-711 ◽

Cited By ~ 12

Author(s):

Lyudmyla Kirichenko ◽

Tamara Radivilova ◽

Vitalii Bulakh

Keyword(s):

Machine Learning ◽

Time Series ◽

Binary Classification ◽

Learning Methods ◽

Machine Learning Methods ◽

Fractal Time

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Neural Network Approach for Semantic Coding of Words

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_45 ◽

2019 ◽

pp. 647-658

Author(s):

Vladimir Golovko ◽

Alexander Kroshchanka ◽

Myroslav Komar ◽

Anatoliy Sachenko

Keyword(s):

Neural Network ◽

Network Approach ◽

Neural Network Approach

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Research of Efficiency of Information Technology for Creation of Semantic Structure of Educational Materials

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_38 ◽

2019 ◽

pp. 554-569

Author(s):

Olexander Barmak ◽

Iurii Krak ◽

Olexander Mazurets ◽

Sergey Pavlov ◽

Andrzej Smolarz ◽

...

Keyword(s):

Information Technology ◽

Semantic Structure ◽

Educational Materials

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Recognition of Human Primitive Motions for the Fitness Trackers

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_26 ◽

2019 ◽

pp. 364-376

Author(s):

Iryna Perova ◽

Polina Zhernova ◽

Oleh Datsok ◽

Yevgeniy Bodyanskiy ◽

Olha Velychko

Keyword(s):

Fitness Trackers

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Construction of the Job Duration Distribution in Network Models for a Set of Fuzzy Expert Estimates

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_8 ◽

2019 ◽

pp. 110-121 ◽

Cited By ~ 1

Author(s):

Yuri Samokhvalov

Keyword(s):

Network Models ◽

Job Duration ◽

Duration Distribution

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Some Features of the Numerical Deconvolution of Mixed Molecular Spectra

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_2 ◽

2019 ◽

pp. 20-34 ◽

Cited By ~ 2

Author(s):

Serge Olszewski ◽

Paweł Komada ◽

Andrzej Smolarz ◽

Volodymyr Lytvynenko ◽

Nataliia Savina ◽

...

Keyword(s):

Molecular Spectra ◽

Numerical Deconvolution

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Complex Approach of High-Resolution Multispectral Data Engineering for Deep Neural Network Processing

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_46 ◽

2019 ◽

pp. 659-672 ◽

Cited By ~ 1

Author(s):

Volodymyr Hnatushenko ◽

Vadym Zhernovyi

Keyword(s):

Neural Network ◽

High Resolution ◽

Deep Neural Network ◽

Multispectral Data ◽

Complex Approach ◽

Data Engineering ◽

Network Processing

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Low-Contrast Image Segmentation by Using of the Type-2 Fuzzy Clustering Based on the Membership Function Statistical Characteristics

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_48 ◽

2019 ◽

pp. 689-700

Author(s):

Lyudmila Akhmetshina ◽

Artyom Yegorov

Keyword(s):

Image Segmentation ◽

Membership Function ◽

Fuzzy Clustering ◽

Statistical Characteristics ◽

Low Contrast ◽

Contrast Image ◽

The Membership Function

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Approach to Piecewise-Linear Classification in a Multi-dimensional Space of Features Based on Plane Visualization

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making ◽

10.1007/978-3-030-26474-1_3 ◽

2019 ◽

pp. 35-47 ◽

Cited By ~ 1

Author(s):

Iurii Krak ◽

Olexander Barmak ◽

Eduard Manziuk ◽

Hrygorii Kudin

Keyword(s):

Dimensional Space ◽

Piecewise Linear ◽

Linear Classification

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Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision MakingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

System Development for Video Stream Data Analyzing

Binary Classification of Fractal Time Series by Machine Learning Methods

Neural Network Approach for Semantic Coding of Words

Research of Efficiency of Information Technology for Creation of Semantic Structure of Educational Materials

Recognition of Human Primitive Motions for the Fitness Trackers

Construction of the Job Duration Distribution in Network Models for a Set of Fuzzy Expert Estimates

Some Features of the Numerical Deconvolution of Mixed Molecular Spectra

Complex Approach of High-Resolution Multispectral Data Engineering for Deep Neural Network Processing

Low-Contrast Image Segmentation by Using of the Type-2 Fuzzy Clustering Based on the Membership Function Statistical Characteristics

Approach to Piecewise-Linear Classification in a Multi-dimensional Space of Features Based on Plane Visualization

Advances in Intelligent Systems and Computing - Lecture Notes in Computational Intelligence and Decision Making
Latest Publications