Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends
Affected by soil erosion and material deterioration, road subsurface is prone to distress such
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …
Enhanced automatic root recognition and localization in GPR images through a YOLOv4-based deep learning approach
In recent years, ground-penetrating radar (GPR) has become increasingly important as a
nondestructive way to explore plant roots. Automatic recognition and localization of root …
nondestructive way to explore plant roots. Automatic recognition and localization of root …
The spatial mechanism and predication of rural tourism development in China: a random forest regression analysis
X Du, Z Wang, Y Wang - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Rural tourism has long been recognized as a significant strategy for promoting rural
revitalization in China. Excessive development has had a number of negative …
revitalization in China. Excessive development has had a number of negative …
Differences in behavioral characteristics and diffusion mechanisms: A comparative analysis based on social bots and human users
M Cai, H Luo, X Meng, Y Cui - Frontiers in Physics, 2022 - frontiersin.org
In the field of social media, the systematic impact that bot users bring to the dissemination of
public opinion has been a key concern of the research. To achieve more effective opinion …
public opinion has been a key concern of the research. To achieve more effective opinion …
OCT monitoring data processing method of laser deep penetration welding based on HDBSCAN
To address the challenge of low accuracy in the measurement of laser deep penetration
welding depth, this study introduces optical coherence tomography (OCT) technology for the …
welding depth, this study introduces optical coherence tomography (OCT) technology for the …
A comprehensive evaluation for the tunnel conditions with ground penetrating radar measurements
We aim to develop a comprehensive tunnel lining detection method and clustering
technique for semi-automatic rebar identification in order to investigate the ten tunnels along …
technique for semi-automatic rebar identification in order to investigate the ten tunnels along …
Automatic reconstruction of three-dimensional root system architecture based on ground penetrating radar
G Fan, H Liang, Y Zhao, Y Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Ground penetrating radar (GPR) is widely used in root detection because of its advantages
of nondestructive and periodic detection. Previously, root point positioning and root diameter …
of nondestructive and periodic detection. Previously, root point positioning and root diameter …
Energy intensity, economic structure, and capital goods imports in upper-middle income countries: Insights from HDBSCAN clustering
CA Carrasco, A Hernandez-del-Valle - Journal of Environmental …, 2023 - Elsevier
In recent years, there have been substantial efforts to improve the efficiency of production
resources, including energy use, to reduce the human footprint from economic activities …
resources, including energy use, to reduce the human footprint from economic activities …
Predicting the Photosynthetic Rate of Chinese Brassica Using Deep Learning Methods
P Gao, J Xie, M Yang, P Zhou, G Liang, Y Chen, D Sun… - Agronomy, 2021 - mdpi.com
Water stress is a significant element impacting photosynthesis, which is one of the major
physiological activities governing crop growth and development. In this study, the …
physiological activities governing crop growth and development. In this study, the …
Feature space curvature map: A method to homogenize cluster densities
K Mahdavi, J Labarta, J Gimenez… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
The majority of density-based clustering algorithms can not perform properly when data
expose very different density through the feature space. These algorithms implicitly presume …
expose very different density through the feature space. These algorithms implicitly presume …