Results 51 to 60 of about 42,049,725 (376)

Case study: BIM protocol for Skanska (Czech Republic) [PDF]

open access: yesBusiness & IT, 2017
The research paper introduces the problems of technical support of a model in projects in the area of BIM. Planning Requirements (BIM protocol) describe the technical preparedness of models, data repletion, information sharing, communications and other ...
Kvirenc, Patrik, Bouska, Robert
doaj   +1 more source

Application of Generalized (Hyper-) Dual Numbers in Equation of State Modeling

open access: yesFrontiers in Chemical Engineering, 2021
The calculation of derivatives is ubiquitous in science and engineering. In thermodynamics, in particular, state properties can be expressed as derivatives of thermodynamic potentials. The manual differentiation of complex models can be tedious and error-
Philipp Rehner, Gernot Bauer
doaj   +1 more source

Natural data structure extracted from neighborhood-similarity graphs

open access: yes, 2018
'Big' high-dimensional data are commonly analyzed in low-dimensions, after performing a dimensionality-reduction step that inherently distorts the data structure. For the same purpose, clustering methods are also often used.
Kanders, Karlis   +2 more
core   +1 more source

From mobile phone data to the spatial structure of cities [PDF]

open access: yes, 2014
Pervasive infrastructures, such as cell phone networks, enable to capture large amounts of human behavioral data but also provide information about the structure of cities and their dynamical properties. In this article, we focus on these last aspects by
Barthelemy, Marc   +7 more
core   +6 more sources

The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada

open access: yesPopulation Ecology, EarlyView.
We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley   +1 more source

Inference of population structure using multilocus genotype data: dominant markers and null alleles

open access: yesMolecular Ecology Notes, 2007
Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis.
D. Falush, M. Stephens, J. Pritchard
semanticscholar   +1 more source

Structuring urban data

open access: yesThe Visual Computer, 2013
Geometric city modeling is an open problem without standard solutions. Within this problem, there appear several sub-problems that must be faced, like the accurate modeling of streets, buildings and other architectonic structures. One important source of geographical information is (measured) cadastral urban data.
Pueyo Vallet, Oriol, Patow, Gustavo
openaire   +3 more sources

Structure identification in relational data [PDF]

open access: yes, 1992
This paper presents several investigations into the prospects for identifying meaningful structures in empirical data, namely, structures permitting effective organization of the data to meet requirements of future queries. We propose a general framework
Dechter, Rina, Pearl, Judea
core   +1 more source

Network topology drives population temporal variability in experimental habitat networks

open access: yesPopulation Ecology, EarlyView.
Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu   +3 more
wiley   +1 more source

Structure Selection from Streaming Relational Data [PDF]

open access: yes, 2011
Statistical relational learning techniques have been successfully applied in a wide range of relational domains. In most of these applications, the human designers capitalized on their background knowledge by following a trial-and-error trajectory, where
Mihalkova, Lilyana   +1 more
core  

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