Zobrazeno 1 - 10
of 763
pro vyhledávání: '"P. Nourian"'
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 17, Iss 11, Pp 2282-2298 (2024)
This article describes the unsteady translational motion of a porous sphere with slip-surface in a quiescent viscous fluid. Apart from its radius a and density ρs , the particle is characterized by its permeability parameter γ , slip-length l and e
Externí odkaz:
https://doaj.org/article/c9a6a26e4eb84e80b21051845de2f8f8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W11-2024, Pp 137-144 (2024)
The environmental performance of urban neighbourhoods is a crucial indicator to measure the sustainability of the built urban form, especially as cities face increased urbanisation and densified development. With new construction contributing signifi
Externí odkaz:
https://doaj.org/article/31b7e34f5a6a4586b2361704f6aa2f0c
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 139-146 (2023)
The UNESCO 2011 Recommendation on the Historic Urban Landscape promotes to map cultural significance of urban heritage from the perspectives of the general public in pursuit of social inclusion in heritage management. The user-generated information a
Externí odkaz:
https://doaj.org/article/771c5ca9e82140f6adcd853f46319b1e
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol VIII-M-1-2021, Pp 25-32 (2021)
The Statements of Outstanding Universal Value (OUV) concerns the core justification for nominating and inscribing cultural and natural heritage properties on the UNESCO World Heritage List, ever since 2007. Ten criteria are specified and measured ind
Externí odkaz:
https://doaj.org/article/a69a1c2097244969b706f9c30be83b77
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-M-1-2021, Pp 23-30 (2021)
Social inclusion has grown as an important goal for heritage planning over the past decades. Whilst the document Recommendation on the Historic Urban Landscape called a decade ago for novel tools for civic engagement and knowledge documentation, soci
Externí odkaz:
https://doaj.org/article/25aad2f040c8455d86af9257f964e10f
Autor:
Rajasukumar, Andronicus, Su, Jiya, Yuqing, Wang, Su, Tianshuo, Nourian, Marziyeh, Diaz, Jose M Monsalve, Zhang, Tianchi, Ding, Jianru, Wang, Wenyi, Zhang, Ziyi, Jeje, Moubarak, Hoffmann, Henry, Li, Yanjing, Chien, Andrew A.
Applications with irregular data structures, data-dependent control flows and fine-grained data transfers (e.g., real-world graph computations) perform poorly on cache-based systems. We propose the UpDown accelerator that supports fine-grained execut
Externí odkaz:
http://arxiv.org/abs/2407.20773
Autor:
Zhao, Joshua C., Bagchi, Saurabh, Avestimehr, Salman, Chan, Kevin S., Chaterji, Somali, Dimitriadis, Dimitris, Li, Jiacheng, Li, Ninghui, Nourian, Arash, Roth, Holger R.
Deep learning has shown incredible potential across a vast array of tasks and accompanying this growth has been an insatiable appetite for data. However, a large amount of data needed for enabling deep learning is stored on personal devices and recen
Externí odkaz:
http://arxiv.org/abs/2405.03636
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 761-767 (2019)
The presented method provides for a possibility to perform graph-based indoor localization, by comparing the topological structure embedded in a mesh model to the topological structure of a semantically rich reference model, specifically a BIM. Howev
Externí odkaz:
https://doaj.org/article/3ea89037c16541f7a741e786ea11ba34
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W10, Pp 179-186 (2018)
This paper investigates automatic prediction of seismic building structural types described by the Global Earthquake Model (GEM) taxonomy, by combining remote sensing, cadastral and inspection data in a supervised machine learning approach. Our focus
Externí odkaz:
https://doaj.org/article/11e19f6387944091a5149cb54df8ece4
This chapter presents methodological reflections on the necessity and utility of artificial intelligence in generative design. Specifically, the chapter discusses how generative design processes can be augmented by AI to deliver in terms of a few out
Externí odkaz:
http://arxiv.org/abs/2310.09243