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Extraction of building footprint polygons from remotely sensed data is essential for several urban understanding tasks such as reconstruction, navigation, and mapping. Despite significant progress in the area, extracting accurate polygonal building f
Externí odkaz:
http://arxiv.org/abs/2412.07899
Currently, there are no learning-free or neural techniques for real-time recalibration of infrared multi-camera systems. In this paper, we address the challenge of real-time, highly-accurate calibration of multi-camera infrared systems, a critical ta
Externí odkaz:
http://arxiv.org/abs/2410.14505
Hydrometric forecasting is crucial for managing water resources, flood prediction, and environmental protection. Water stations are interconnected, and this connectivity influences the measurements at other stations. However, the dynamic and implicit
Externí odkaz:
http://arxiv.org/abs/2409.15213
Akademický článek
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The hydrometric prediction of water quantity is useful for a variety of applications, including water management, flood forecasting, and flood control. However, the task is difficult due to the dynamic nature and limited data of water systems. Highly
Externí odkaz:
http://arxiv.org/abs/2312.05961
Recent advancements in deep learning and computer vision have led to widespread use of deep neural networks to extract building footprints from remote-sensing imagery. The success of such methods relies on the availability of large databases of high-
Externí odkaz:
http://arxiv.org/abs/2304.02296
Autor:
Naghmeh Shafiee Roudbari, Shubham Rajeev Punekar, Zachary Patterson, Ursula Eicker, Charalambos Poullis
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Forecasting floods encompasses significant complexity due to the nonlinear nature of hydrological systems, which involve intricate interactions among precipitation, landscapes, river systems, and hydrological networks. Recent efforts in hydr
Externí odkaz:
https://doaj.org/article/6ec87701f8174705a14ebdc8d037c8f0
Autor:
Michael Poullis
Publikováno v:
Circulation. 137(11)
Taggart et al1 need to be congratulated on their post hoc analysis of their ART (Arterial Revascularization Trial) data. However, their work raises a number of questions. This study involved the nonrandomized use of the radial artery and, unsurprisin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d5f99a4909f411bde7647cb3ba772e9
https://pubmed.ncbi.nlm.nih.gov/28566338
https://pubmed.ncbi.nlm.nih.gov/28566338