Results 51 to 60 of about 114 (110)

Visual health screening by schoolteachers in remote communities of Peru: implementation research. [PDF]

open access: yesBull World Health Organ, 2016
Latorre-Arteaga S   +5 more
europepmc   +1 more source

Integrating noncommunicable disease services into primary health care, Botswana. [PDF]

open access: yesBull World Health Organ, 2019
Tapela NM   +14 more
europepmc   +1 more source

[Fixed ratio combinations GLP-1RA and basal insulin: literature review]. [PDF]

open access: yesProbl Endokrinol (Mosk)
Kurkin DV   +10 more
europepmc   +1 more source

Разработка приложения для Ð¿Ð¾Ð»ÑƒÐ°Ð²Ñ‚Ð¾Ð¼Ð°Ñ‚Ð¸Ñ‡ÐµÑÐºÐ¸Ñ Ñ€Ð°ÑÑÑ‹Ð»Ð¾Ðº в мессенджераÑ

2023
This thesis is devoted to the development of a prototype of a cross-platform application to manage mailing in various social networks. In the course of the work, the client part of the application was developed, and its architecture was presented. Accordingly, the server part of the application, which manages the user data and the server with access to
openaire   +1 more source

Приложение для автоматизации составления рациона питания

2023
The topic of the graduate qualification work is « Application for automating meal plan creation ».The purpose of study is to develop a nutrition recommendations information system, which is a reference guide with additional tools for inputting information.
openaire   +1 more source

Ð¢ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ñ обработки металлов давлением

2020
Задачей учебно-методического пособия является ознакомление и приобретение практического опыта по проектированию поковок методами горячей объемной штамповки и расчету Ñ‚Ñ€ÐµÐ±ÑƒÐµÐ¼Ñ‹Ñ Ð·Ð°Ð³Ð¾Ñ‚Ð¾Ð²Ð¾Ðº.
openaire   +1 more source

Теория автоматического управления

2008
Рассмотрены методы анализа и синтеза Ð»Ð¸Ð½ÐµÐ¹Ð½Ñ‹Ñ ÑÐ¸ÑÑ‚ÐµÐ¼ автоматического управления. Приведены алгоритмические процедуры в Ñ€Ð°Ð¼ÐºÐ°Ñ ÐºÐ¾Ð½Ñ†ÐµÐ¿Ñ†Ð¸Ð¸ «модели—анализ—синтез», реализующие функции в среде ...
openaire   +1 more source

Реализация модели Deep Forest на GPU для обработки изображений

2021
This work is devoted to the study and implementation of Deep Forest modifications for the problem of image classification in order to increase the speed of learning and predictions. Tasks that were solved in the course of work: 1. Development of a modification for the Deep Forest algorithm using the CUDA NVIDIA architecture; 2.
openaire   +1 more source

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