List of publications on a keyword: «residential»


Технические науки

Publication date: 16.02.2024
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Rakhimdzhon S. Zokirov , degree-seeking student , senior lecturer
Khujand Politechnical Institute, Tajik Technical University named after academic M.S.Osimi , Tajikistan

«Urban planning requirements for the architecture of the residential environment of a town»

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The article considers a particular specificity of the formation of a living environment with a necessary public infrastructure environment. The author reveals urban planning requirements related to the his-torical traditions of Northern Tajikistan.

Тема номера

Publication date: 29.12.2018
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Isroilhodzha S. Vahobov , assistant of the department
Khujand Politechnical Institute, Tajik Technical University named after academic M.S.Osimi , Tajikistan

«New type of heat generating from the sun's rays device»

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This article discusses how to use solar energy to heat a building and develop a new device for generating heat from the sun. The author presents two types of solar energy usage.

Педагогика высшей профессиональной школы

Publication date: 21.07.2016
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Tatyana A. Solovyeva
Vladimir State University named after Alexander and Nikolay Stoletovs , Владимирская обл

«Features of interior residence project training of design students»

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The article describes the main features of the design learning methodology for design-students of three-dimensional solution of the interior projecting taking into the account functional zoning and decorationof premises.

Математические методы и информационные технологии в экономике

Publication date: 27.11.2015
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Vitalii L. Iasnitskii
FSBEI of HPE "Perm State National Research University" , Пермский край

«Нейросетевое моделирование в задаче массовой оценки жилой недвижимости г. Перми»

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The computer program to predict the market value of residential real estate of the city Perm are developed. The program is based on a neural network trained on the results of the information resources available on the estate. After excluding emissions associated with false information, the average relative error of the results of the neural network prediction was 1.03%. The valuing the input parameters was performed using a neural network model.