Remote-Sensing Technologies and Data Processing Algorithms

New Ecoinformatics Tools in Environmental Science ◽

10.1007/978-3-319-13978-4_2 ◽

2015 ◽

pp. 119-219

Author(s):

Vladimir F. Krapivin ◽

Costas A. Varotsos ◽

Vladimir Yu. Soldatov

Keyword(s):

Remote Sensing ◽

Data Processing ◽

Processing Algorithms ◽

Data Processing Algorithms

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Remote Sensing and Data Processing Algorithms

Microwave Remote Sensing Tools in Environmental Science ◽

10.1007/978-3-030-45767-9_2 ◽

2020 ◽

pp. 45-97

Author(s):

Costas A. Varotsos ◽

Vladimir F. Krapivin

Keyword(s):

Remote Sensing ◽

Data Processing ◽

Processing Algorithms ◽

Data Processing Algorithms

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Typical remote-sensing technologies and data-processing algorithms

Information Technologies for Remote Monitoring of the Environment ◽

10.1007/978-3-642-20567-5_7 ◽

2012 ◽

pp. 355-419

Author(s):

Vladimir F. Krapivin ◽

Anatolij M. Shutko

Keyword(s):

Remote Sensing ◽

Data Processing ◽

Processing Algorithms ◽

Data Processing Algorithms

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STAND: New tool for performance estimation of the block data processing algorithms in high-load systems

2013 13th Conference of Open Innovations Association (FRUCT) ◽

10.23919/fruct.2013.8124234 ◽

2013 ◽

Author(s):

Victor Minchenkov ◽

Vladimir Bashun ◽

Alexander Povalyaev

Keyword(s):

Data Processing ◽

High Load ◽

Performance Estimation ◽

Block Data ◽

Processing Algorithms ◽

Data Processing Algorithms

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Development of centralized catalog of geophysical data processing algorithms

Russian Journal of Earth Sciences ◽

10.2205/2009es000399 ◽

2009 ◽

Vol 11 (2) ◽

pp. 1-5 ◽

Cited By ~ 3

Author(s):

A. Yu. Lebedev ◽

A. E. Beriozko

Keyword(s):

Data Processing ◽

Geophysical Data ◽

Processing Algorithms ◽

Data Processing Algorithms

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Robust and nonparametric data processing algorithms for physical experiments

Russian Physics Journal ◽

10.1007/bf00559165 ◽

1993 ◽

Vol 36 (10) ◽

pp. 1000-1007 ◽

Cited By ~ 3

Author(s):

A. P. Serykh ◽

V. P. Shulenin

Keyword(s):

Data Processing ◽

Physical Experiments ◽

Processing Algorithms ◽

Data Processing Algorithms

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Data Processing Algorithms for Analysis of High Resolution MSMS Spectra of Peptides with Complex Patterns of Posttranslational Modifications

Molecular & Cellular Proteomics ◽

10.1074/mcp.m900431-mcp200 ◽

2009 ◽

Vol 9 (5) ◽

pp. 804-810 ◽

Cited By ~ 29

Author(s):

Shenheng Guan ◽

Alma L. Burlingame

Keyword(s):

High Resolution ◽

Data Processing ◽

Posttranslational Modifications ◽

Processing Algorithms ◽

Complex Patterns ◽

Data Processing Algorithms

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Neuronet data processing algorithms in laser interferometer circuit at detecting object’s low oscillations and vibrations

Optical Memory and Neural Networks ◽

10.3103/s1060992x0902009x ◽

2009 ◽

Vol 18 (2) ◽

pp. 122-128

Author(s):

A. A. Sirota ◽

V. G. Popov ◽

V. A. Shulgin ◽

D. K. Proskurin

Keyword(s):

Data Processing ◽

Laser Interferometer ◽

Processing Algorithms ◽

Data Processing Algorithms

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Fixed Data, Varying Data Processing Algorithms: Still Intractable

Computational Complexity and Feasibility of Data Processing and Interval Computations - Applied Optimization ◽

10.1007/978-1-4757-2793-7_8 ◽

1998 ◽

pp. 85-86

Author(s):

Vladik Kreinovich ◽

Anatoly Lakeyev ◽

Jiří Rohn ◽

Patrick Kahl

Keyword(s):

Data Processing ◽

Processing Algorithms ◽

Data Processing Algorithms

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Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms

Lecture Notes in Computer Science - Computational Science – ICCS 2020 ◽

10.1007/978-3-030-50433-5_7 ◽

2020 ◽

pp. 86-99

Author(s):

Ksenia Mukhina ◽

Alexander Visheratin ◽

Denis Nasonov

Keyword(s):

Social Networks ◽

Data Processing ◽

Spatiotemporal Filtering ◽

Processing Algorithms ◽

Data Processing Algorithms

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FRACTAL ANALYSIS AS A TOOL FOR AUTOMATIC DETECTION OF ARTIFACTS IN ELECTROENCEPHALOGRAM RECORDS

СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ ◽

10.36622/vstu.2021.85.3.013 ◽

2021 ◽

pp. 72-76

Author(s):

Л.Д. Егорова ◽

Л.А. Казаковцев

Keyword(s):

Data Processing ◽

Fractal Analysis ◽

Hurst Exponent ◽

Automatic Detection ◽

Eeg Signal ◽

Informative Feature ◽

Processing Algorithms ◽

Automatic Filtering ◽

Intelligent Data Processing ◽

Data Processing Algorithms

В статье обсуждается применение методов фрактального анализа для решения задачи автоматической фильтрации сигнала ЭЭГ от артефактов различной природы. Изучается возможность использования показателя Херста в качестве информативного признака для алгоритмов интеллектуальной обработки данных. The article discusses the possibility of using fractal analysis to solve the problem of automatic filtering of the EEG signal from artifacts of various nature. The possibility of using the Hurst exponent as an informative feature for intelligent data processing algorithms is investigated

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