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Application of cryogenic technologies for NMR logging tool
Alakshin E., Klochkov A., Kuzmin V., Nourgaliev D., Safin T., Tagirov M.
magnetic resonance logging tool. Particularly, it is proposed to use a magnetic system made of a high
Log-periodic corrections to the Cole-Cole expression in dielectric relaxation
Khamzin A., Nigmatullin R., Popov I.
considered becomes important, then the expression for the complex dielectric permittivity contains log
Experience of geotechnical core logging of borehole environment: a case-study of carbonate rocks
Vysotin N.G., Eremenko V.A., Kosyreva M.A.
reservoirs fractured by systems of joints extracted from the geotechnical logging of core. Using 3D finite
Time study analyses of skidding with cable-grapple skidder Equus 175N
Orlovsky, L.
cycle of the monitored cable-grapple skidder is influenced by skidding diatance and number of logs in a
Efficiency analysis of 30-stage fracturing in a horizontal well to oil rims based on through-barrier diagnostics
Nagimov V., Virt V., Kosolapov V., Bakhitov D., Maslennikova Y., Spirina L., Shigapov I.
well completion design is evaluated based on conventional production logging, however, high resolution
FURTHER IMPROVEMENT OF AN EXTENSION OF HOLDER-TYPE INEQUALITY
Jaksetic J., Pecaric J., Kalamir K.S.
their result in a measure theoretic sense and further improve it using log-convexity of related linear
Machining of thermosetting composites by means of milling and drilling
Mashutovich Ganiev M., Gumerov I., Shafigullin L., Gumerov A., Irekovich Gumerov M., Ivanovich Shveyov A.
be machined by tools and cutters. During cutting, with mechanical and thermal loads applied, the destruction
Machine learning methods for anaphora resolution
Kamenskaya M.A., Khramoin I.V.
This paper presents the methods of ahaphora resolution based on machine learning. The question
Machine learning methods for anaphora resolution
Kamenskaya M.A., Khramoin I.V.
This paper presents the methods of ahaphora resolution based on machine learning. The question
Machine learning methods for anaphora resolution
Kamenskaya M.A., Khramoin I.V.
This paper presents the methods of ahaphora resolution based on machine learning. The question

Страница 11 из 804

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