Samara University Repository
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| Title: | Development of a methodology for estimating the heat loss of buildings based on neural networks |
| Keywords: | heat map image processing methodology for estimating the heat loss neural network thermal imager |
| Issue Date: | 2023 |
| Citation: | Shoshina, K. Development of a methodology for estimating the heat loss of buildings based on neural networks / K. Shoshina, I. Vasendina, A. Shoshin // Информационные технологии и нанотехнологии (ИТНТ-2023) : сб. тр. по материалам IX Междунар. конф. и молодеж. шк. (г. Самара, 17-23 апр. 2023 г.): в 6 т. / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем обраб. изобр. РАН - Фил. Федер. науч.-исслед. центра "Кристаллография и фотоника" Рос. акад. наук. - Самара : Изд-во Самар. ун-та, 2023Распознавание, обработка и анализ изображений / под ред. В. В. Сергеева. - 2023. - С. 030822. |
| Abstract: | The study describes a methodology for estimating the heat loss of a building, including the calculation of the heat loss of a building. The features of the wooden housing stock were studied for developing a methodology for estimating the heat loss of a building based on neural networks. The stage of images collecting for training a neural network,the stage of training an optimal neural network for solving the problem of object detection are described. The technologies necessary to solve the problem are described. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13141 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Size | Format | |
|---|---|---|---|
| 978-5-7883-1919-3_2023-030822.pdf | 259.4 kB | Adobe PDF | View/Open |
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