Comparing the Performance of Julia on CPUs versus GPUs and Julia-MPI versus Fortran-MPI: a case study with MPAS-Ocean (Version 7.1) [PDF]
Some programming languages are easy to develop at the cost of slow execution, while others are fast at runtime but much more difficult to write. Julia is a programming language that aims to be the best of both worlds – a development and production ...
S. Bishnu +4 more
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Nonlocal pseudopotential energy density functional for orbital-free density functional theory
Orbital-free density functional theory is an electronic structure method with a low computational cost enabling large-scale material simulations. Here the authors present a novel protocol which allows for the application of nonlocal pseudopotentials to ...
Qiang Xu +4 more
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In the present paper, an algorithm for the numerical solution of the external Dirichlet generalized harmonic problem for a sphere by the method of probabilistic solution (MPS) is given, where “generalized” indicates that a boundary function has a finite ...
Mamuli Zakradze +5 more
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Domain-Adaptive Object Detection for Enriching Semantic 3D City Models with Building Storeys from Street-View Images [PDF]
Semantically rich 3D city models play a vital role in a variety of applications, such as urban planning. Enhancing these models with currently unavailable attributes, such as building storey numbers, can unlock new opportunities to address pressing ...
L. Arzoumanidis +4 more
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Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials [PDF]
Semantically rich 3D city models play a vital role in a variety of applications, such as urban planning. Enhancing these models with currently unavailable attributes, such as roof material types, can unlock new opportunities to tackle pressing challenges,
L. Arzoumanidis +6 more
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Towards a Deep Automatic Generation of Figure-ground Maps [PDF]
Figure-ground maps play a key role in many disciplines where urban planning or analysis is involved. In this context, the automatic generation of such maps with respect to certain requirements and constraints is an important task.
L. Arzoumanidis, J. Hecht, Y. Dehbi
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Model order reduction for gas and energy networks
To counter the volatile nature of renewable energy sources, gas networks take a vital role. But, to ensure fulfillment of contracts under these circumstances, a vast number of possible scenarios, incorporating uncertain supply and demand, has to be ...
Christian Himpe +2 more
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Automatic Detection of Tiny Drainage Outlets and Ventilations on Flat Rooftops from Aerial Imagery [PDF]
Flat rooftops on residential and industrial buildings house critical drainage and ventilation systems, which play essential roles in channeling water away from structures and preventing moisture accumulation. These utilities are vital for maintaining the
L. Arzoumanidis +5 more
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IMAGE SHARPENING WITH BLUR MAP ESTIMATION USING CONVOLUTIONAL NEURAL NETWORK [PDF]
We propose a method for choosing optimal values of the parameters of image sharpening algorithm for out-of-focus blur based on grid warping approach. The idea of the considered sharpening algorithm is to move pixels from the edge neighborhood towards the
A. Nasonov, A. Krylov, D. Lyukov
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Domain-Adaptive Object Detection of Electrical Facilities for Enhanced Semantic Indoor Models [PDF]
Detecting visible electrical utilities is a prerequisite for developing advanced reasoning strategies to reconstruct hidden in-wall networks. This paper investigates the detection of visible power-related utilities using a domain-adaptive deep learning ...
L. Arzoumanidis, W. Li, W. Li, Y. Dehbi
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