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Masoud Jafari Shalamzari, Wanchang Zhang, Atefeh Gholami and Zhijie Zhang
Site selection for runoff harvesting at large scales is a very complex task. It requires inclusion and spatial analysis of a multitude of accurately measured parameters in a time-efficient manner. Compared with direct measurements of runoff, which is tim...
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Abdelkrim Lachgar, David J. Mulla and Viacheslav Adamchuk
One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plant available P across fields. To overcome this barrier, emerging sensing, data fusion, and spatial predictive modeling approaches are needed to ...
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Benjamin Burrichter, Julian Hofmann, Juliana Koltermann da Silva, Andre Niemann and Markus Quirmbach
This study presents a deep-learning-based forecast model for spatial and temporal prediction of pluvial flooding. The developed model can produce the flooding situation for the upcoming time steps as a sequence of flooding maps. Thus, a dynamic overview ...
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Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
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Felipe Orellana, Peppe J. V. D?Aranno, Silvia Scifoni and Maria Marsella
Monitoring structural stability in urban areas and infrastructure networks is emerging as one of the dominant socio-economic issues for population security. The problem is accentuated by the age of the infrastructure because of increasing risks due to ma...
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Khaled Mohammed, Robert Leconte and Mélanie Trudel
Soil moisture modeling is necessary for many hydrometeorological and agricultural applications. One of the ways in which the modeling of soil moisture (SM) can be improved is by assimilating SM observations to update the model states. Remotely sensed SM ...
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Dengqun Wang, Shuaihua Ye and Liangliang Xin
This study aims to apply performance-based safety-assessment methods to the monitoring and numerical simulation of excavation engineering projects in order to comprehensively enhance engineering risk management and decision support. In this paper, a deep...
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Abubakar Ahmad Musa, Adamu Hussaini, Weixian Liao, Fan Liang and Wei Yu
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and computational elements into physical processes to facilitate the control of physical systems and effective monitoring. The systems are designed to interact with the ...
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Cédric Mpié Simba, Emmanuel Lemelin, Eric Masson, Ahmed Senouci and Walid Maherzi
In the absence of industry data, organisms, and researchers leverage free and available data, specifically building and demolition permits. Geospatial processing is essential to integrate information from various files into a single GIS layer containing ...
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Xinyi Huang, Shouming Feng, Shuaishuai Zhao, Jinlong Fan, Zhihao Qin and Shuhe Zhao
Agricultural drought assessment is based on soil moisture deficit during the plant-growing season. The available long-term in situ soil moisture data can be used to evaluate the drought indices? performance. Drought indices have different sensitivities t...
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