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1دورية أكاديمية
المؤلفون: Ayrat Zagretdinov, Shamil Ziganshin, Eugenia Izmailova, Yuri Vankov, Ilya Klyukin, Roman Alexandrov
المصدر: Fractal and Fractional, Vol 8, Iss 5, p 280 (2024)
مصطلحات موضوعية: fractal, hurst exponent, leak, valve, shut-off valves, DFA, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Ayrat Zagretdinov, Shamil Ziganshin, Eugenia Izmailova, Yuri Vankov, Ilya Klyukin, Roman Alexandrov
المصدر: Fractal and Fractional, Vol 8, Iss 4, p 213 (2024)
مصطلحات موضوعية: fractal, leakage, pipelines, DFA, MF-DFA, Hurst exponent, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
وصف الملف: electronic resource
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3دورية أكاديمية
المصدر: Water, Vol 14, Iss 19, p 3190 (2022)
مصطلحات موضوعية: pipeline, leakage, fractals, Hurst exponent, R/S analysis, acoustic control, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Yuri Vankov, Aleksey Rumyantsev, Shamil Ziganshin, Tatyana Politova, Rinat Minyazev, Ayrat Zagretdinov
المصدر: Energies, Vol 13, Iss 3, p 618 (2020)
مصطلحات موضوعية: pipelines, defect, diagnostics, convolutional neural network, binary classification, computational experiment, Technology
وصف الملف: electronic resource
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5
المؤلفون: Shamil Ziganshin, Yuri Vankov, Aleksey Rumyantsev, Rinat Minyazev, Ayrat Zagretdinov, Tatyana Olegovna Politova
المصدر: Energies; Volume 13; Issue 3; Pages: 618
Energies, Vol 13, Iss 3, p 618 (2020)مصطلحات موضوعية: defect, Control and Optimization, Process (engineering), Computer science, 020209 energy, Heat supply, convolutional neural network, Energy Engineering and Power Technology, Water supply, 02 engineering and technology, lcsh:Technology, Convolutional neural network, symbols.namesake, diagnostics, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Engineering (miscellaneous), pipelines, Reliability (statistics), Piping, binary classification, Artificial neural network, lcsh:T, Renewable Energy, Sustainability and the Environment, business.industry, 020208 electrical & electronic engineering, Pipeline (software), Reliability engineering, Pipeline transport, Fourier transform, Petroleum industry, computational experiment, symbols, business, Energy (signal processing), Energy (miscellaneous)
وصف الملف: application/pdf