[HTML][HTML] Deep learning applied to equipment detection on flat roofs in images captured by UAV

LMA dos Santos, VAG Zanoni, E Bedin… - Case Studies in …, 2023 - Elsevier
Maintenance on flat roofs is a complex activity. Equipment improperly positioned on flat roofs
hinders the correct drainage of water and makes maintenance services more difficult. This …

[HTML][HTML] Map** stains on flat roofs using semantic segmentation based on deep learning

LMA dos Santos, LR Lescano, GTH Higa… - Case Studies in …, 2025 - Elsevier
Moisture stains indicate ongoing degradation processes and may reveal areas of the roof
slab where water infiltration occurs, compromising the performance and durability of the …

Roof defect segmentation on aerial images using neural networks

DA Yudin, V Adeshkin, AV Dolzhenko… - International Conference …, 2020 - Springer
The paper describes usage of deep neural networks for flat roof defect segmentation on
aerial images. Such architectures as U-Net, DeepLabV3+ and HRNet+ OCR are studied for …

Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach

D Maestro-Watson, J Balzategui… - Journal of …, 2020 - spiedigitallibrary.org
The purpose of this paper is to explore the use of fully convolutional neural networks (FCN)
to perform a semantic segmentation of deflectometric recordings for quality control of …

[HTML][HTML] Интеллектуализация технологических процессов строительно-технической экспертизы

АЕ Наумов, ДА Юдин, АВ Долженко… - … университета им. ВГ …, 2022 - cyberleninka.ru
Экспертиза технического состояния объектов капитального строительства является
ключевой задачей управляющих компаний, организаций, обеспечивающих …

Using image analysis to quantify defects and prioritize repairs in built-up roofs

K Mostafa, T Hegazy, RD Hunsperger, S Elias - Facilities, 2023 - emerald.com
Purpose This paper aims to use convolutional neural networks (CNNs) to provide an
objective approach to classify deteriorated building assets according to the type and extent …

The usage of grayscale or color images for facial expression recognition with deep neural networks

DA Yudin, AV Dolzhenko, EO Kapustina - International Conference on …, 2019 - Springer
The paper describes usage of modern deep neural network architectures such as ResNet,
DenseNet and Xception for the classification of facial expressions on color and grayscale …

Повышение качества управления жизненным циклом плоских рулонных кровель совершенствованием инструментов оценки их физического износа

АВ Долженко, АЕ Наумов, ОА Щенятский - 2023 - dspace.bstu.ru
Качество управления жизненным циклом плоских рулонных кровель зависит от
эффективности технологии оценки их физического износа, на величину которого …

Visão Computacional Geoespacial aplicada à deteção de Pedreiras

THA Andrade - 2022 - search.proquest.com
A exploração de massas minerais e pedreiras pode, por vezes, causar instabilidade no
terreno próximo, aumentando o risco para a segurança pública. Para mitigar esses riscos, a …

Assessing the Investment Attractiveness of Renovation

IS Zharikov - Russian Conference on Digital Economy and …, 2020 - atlantis-press.com
The widespread use of mathematical methods is the most important area of improving
economic analysis, increasing the effectiveness of the analysis of the organizational …