Results 21 to 30 of about 114,821 (305)
AUTOMATIC DETECTION OF DUPLICATED ATTRIBUTES IN ONTOLOGY [PDF]
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]
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]
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]
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
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
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]
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]
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
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
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

