Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Random forest method"'
Autor:
Marina N. Asatryan, Ilya S. Shmyr, Boris I. Timofeev, Dmitrii N. Shcherbinin, Vaagn G. Agasaryan, Tatiana A. Timofeeva, Ivan F. Ershov, Elita R. Gerasimuk, Anna V. Nozdracheva, Tatyana A. Semenenko, Denis Yu. Logunov, Aleksander L. Gintsburg
Publikováno v:
Вопросы вирусологии, Vol 69, Iss 4, Pp 349-362 (2024)
Introduction. The World Health Organization considers the values of antibody titers in the hemagglutination inhibition assay as one of the most important criteria for assessing successful vaccination. Mathematical modeling of cross-immunity allows fo
Externí odkaz:
https://doaj.org/article/74daf3ff47a14a918fe07fefb7c30524
Autor:
Alireza Sepahvand, Nasrin Beiranvand
Publikováno v:
مدلسازی و مدیریت آب و خاک, Vol 4, Iss 2, Pp 261-278 (2024)
IntroductionA landslide is one of the mass movements on the top surface of the earth. Landslides have resulted in notable injury and damage to human life and destroyed infrastructure and property. Landslides represented approximately Nine percent of
Externí odkaz:
https://doaj.org/article/ce740723acc2449c886c6f8e0b01d055
Publikováno v:
Documents d'Anàlisi Geogràfica (2024)
This article models the relationship between the incidence of COVID-19 and several socioeconomic factors during the second period of epidemic (22 June 2020 to 06 December 2020) in the Autonomous Community of Madrid, Spain. Data collected from Basic H
Externí odkaz:
https://doaj.org/article/0659ec4f79e2458ab384862eaed02fd1
Publikováno v:
Aqua, Vol 72, Iss 12, Pp 2201-2215 (2023)
The machine learning techniques of Multiple Linear Regression (MLR), Generalized Additive Models (GAMs), and the Random Forest (RF) Method have been used to analyze the extreme annual rainfall in the six states of Assam, Meghalaya, Tripura, Mizoram,
Externí odkaz:
https://doaj.org/article/06de8e2f4b3f467f9fad16ed2e421aed
Publikováno v:
Hydrology Research, Vol 54, Iss 12, Pp 1573-1589 (2023)
A better understanding of the distribution of nonaqueous phase liquid (NAPL) plumes is of great importance to groundwater pollution remediation and control. However, the efficiency of surrogate models in simulating the transport is still not well add
Externí odkaz:
https://doaj.org/article/d928b69dc6be42f1830e3d33c265d384
Publikováno v:
Symmetry, Vol 16, Iss 8, p 960 (2024)
The accurate evaluation of green innovation efficiency is a critical prerequisite for enterprises to achieve sustainable development goals and improve environmental performance and economic efficiency. This paper evaluates the green innovation effici
Externí odkaz:
https://doaj.org/article/12f40fe396c641928f5f1583a7f3eb1d
Autor:
Tan Zongbin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The oil painting landscape sketching course is one of the required courses for teaching art majors, which has unique aesthetic value and artistic charm in art teaching. Based on multimedia big data, this paper designs the teaching mode for oil painti
Externí odkaz:
https://doaj.org/article/b766c4a37e984f87bb74f9a3e9f96c08
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper combines the cigarette quality supervision measurement project, summarizes the key instruments for cigarette quality supervision, constructs the reliability evaluation model of cigarette quality supervision measurement instruments, adopts
Externí odkaz:
https://doaj.org/article/669c7b2dce5f40dfadc16c40a40b9664
Publikováno v:
Environment International, Vol 182, Iss , Pp 108317- (2023)
The Internet of Things (IoT) and low-cost sensor technology have become common tools for environmental exposure monitoring; however, their application in measuring respirable dust (RD) in the workplace remains limited. This study aimed to develop a p
Externí odkaz:
https://doaj.org/article/1e1e9dcfec4443949bb0d86be8d826c9
Autor:
Olesia Kuchinskaia, Maxim Penzin, Iurii Bordulev, Vadim Kostyukhin, Ilia Bryukhanov, Evgeny Ni, Anton Doroshkevich, Ivan Zhivotenyuk, Sergei Volkov, Ignatii Samokhvalov
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1782 (2024)
The special features of the applicability of artificial neural networks to the task of identifying relationships between meteorological parameters of the atmosphere and optical and geometric characteristics of high-level clouds (HLCs) containing ice
Externí odkaz:
https://doaj.org/article/3b7909767af9473f87697664d207e3e4