Results 131 to 140 of about 106,559 (172)

A comparison of statistical methods for assessing winter wheat grain yield stability. [PDF]

Vavilovskii Zhurnal Genet Selektsii, 2020
Cheshkova AF, Stepochkin PI, Aleynikov AF, Grebennikova IG, Ponomarenko VI.   +4 more
europepmc   +1 more source

[Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism]. [PDF]

Probl Endokrinol (Mosk)
Golounina OO, Belaya ZE, Voronov KA, Solodovnikov AG, Rozhinskaya LY, Melnichenko GA, Mokrysheva NG, Dedov II.   +7 more
europepmc   +1 more source

Приоритеты торговой политики ведущих государств мира в условиях постковидного развития глобальной экономики (Trade Policy Priorities of the Leading States in the Context of Post-COVID Global Economic Recovery)

, 2022
Pakhomov A, Bagdasaryan K.
europepmc   +1 more source

Виды и классификация корпоративного страхования [PDF]

, 2015
Казина, И. О.
core  

Classification of patient-safety incidents in primary care. [PDF]

Bull World Health Organ, 2018
Cooper J, Williams H, Hibbert P, Edwards A, Butt A, Wood F, Parry G, Smith P, Sheikh A, Donaldson L, Carson-Stevens A.   +10 more
europepmc   +1 more source

Modern Trends and Problems of Income Inequality in An Open Economy (Современные тенденции и проблемы неравенства уровня доходов в условиях открытой экономики)

, 2023
Shapor M.
europepmc   +1 more source

A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Busov ID, Genaev MA, Komyshev EG, Koval VS, Zykova TE, Glagoleva AY, Afonnikov DA.   +6 more
europepmc   +1 more source

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Реализация классификатора типов модуляций OFDM-сигналов

2021
Automatic classification of modulation types is an important step in the development of an intelligent transceiver. However, there are not many works in the literature devoted to the classification of OFDM signals. In this paper, an algorithm was proposed for the automatic classification of six types of OFDM signal modulations: BPSK, QPSK, 16,64,256 ...
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XGBOOST: классификация параметров методов регрессионного анализа

2022
The subject of graduate qualification work is XGBOOST: classification of parameters of regression analysis methods. The object of study in this thesis is the PW-estimator, one of the methods for estimating the parameters of a piecewise polynomial model for non-stationary time series. The study is aimed on its hypermarapeter, the minimum size of segment
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