Results 21 to 30 of about 114,821 (305)

AUTOMATIC DETECTION OF DUPLICATED ATTRIBUTES IN ONTOLOGY [PDF]

open access: yesProceedings of the 11th International Conference on Enterprise Information, 2009
Semantic heterogeneity is the ambiguous interpretation of terms describing the meaning of data in heterogeneous data sources such as databases. This is a well-known problem in data integration. A recent solution to this problem is to use ontologies, which is called ontology-based data integration.
Astrova, Irina, Koschel, Arne
openaire   +2 more sources

A Bayesian Climate Change Detection and Attribution Assessment [PDF]

open access: yes, 2005
A Bayesian analysis of the evidence for human-induced climate change in global surface temperature observations is described. The analysis uses the standard optimal detection approach and explicitly incorporates prior knowledge about uncertainty and the ...
Lee, T. C. K.   +9 more
core   +1 more source

Climate change detection and attribution: Beyond mean temperature signals [PDF]

open access: yes, 2006
A significant influence of anthropogenic forcing has been detected in global- and continental-scale surface temperature, temperature of the free atmosphere, and global ocean heat uptake.
Xuebin Zhang   +23 more
core   +1 more source

Assessing the robustness of zonal mean climate change detection [PDF]

open access: yes, 2002
We assess the robustness of previous optimal detection and attribution studies considering zonal-mean temperatures. Principal results, which have consistently pointed towards a demonstrable anthropogenic influence on recently observed upper air ...
Jones, Phil D.   +21 more
core   +1 more source

DAAB: Deep Authorship Attribution in Bengali

open access: yes, 2021
Authorship attribution identifies the true author of an unknown document. Authorship attribution plays a crucial role in plagiarism detection and blackmailer identification, however, the existing studies on authorship attribution in Bengali are limited ...
Kayesh, Humayun   +13 more
core   +1 more source

Multi-model errors and emergence times in climate attribution studies

open access: yes, 2021
Global climate models like any in sillico numerical experiments are affected by different types of bias. Uncertainties quantification remains a challenge in any climate attribution analysis.
Thao, Soulivanh   +3 more
core   +1 more source

Detection and Attribution of Observed Impacts [PDF]

open access: yes, 2015
This chapter synthesizes the scientific literature on the detection and attribution of observed changes in natural and human systems in response to observed recent climate change. For policy makers and the public, detection and attribution of observed impacts will be a key element to determine the necessity and degree of mitigation and adaptation ...
Cramer, Wolfgang   +26 more
openaire   +5 more sources

Robust detection and attribution of climate change under interventions [PDF]

open access: yes, 2022
Fingerprints are key tools in climate change detection and attribution (D&A) that are used to determine whether changes in observations are different from internal climate variability (detection), and whether observed changes can be assigned to specific ...
Knutti, Reto   +4 more
core   +1 more source

Anthropogenic warming of Tibetan Plateau and constrained future projection

open access: yesEnvironmental Research Letters, 2021
Serving as ‘the water tower of Asia’, the Tibetan Plateau (TP) supplies water resources to more than 1.4 billion people. It is warming more rapidly than the global average over the past decades, affecting regional hydrological cycle and ecosystem ...
Tianjun Zhou, Wenxia Zhang
doaj   +1 more source

Physics-aware nonparametric regression models for Earth data analysis

open access: yesEnvironmental Research Letters, 2022
Process understanding and modeling is at the core of scientific reasoning. Principled parametric and mechanistic modeling dominated science and engineering until the recent emergence of machine learning (ML).
Jordi Cortés-Andrés   +9 more
doaj   +1 more source

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