Results 251 to 260 of about 8,118,965 (303)

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source
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Spatial Context in Recognition

Perception, 1996
In recognizing objects and scenes, partial recognition of objects or their parts can be used to guide the recognition of other objects. Here, the role of individual objects in the recognition of complete figures and the influence of contextual information on the identification of ambiguous objects were investigated.
M, Bar, S, Ullman
openaire   +2 more sources

Randomized Spatial Context for Object Search

IEEE Transactions on Image Processing, 2015
Searching visual objects in large image or video data sets is a challenging problem, because it requires efficient matching and accurate localization of query objects that often occupy a small part of an image. Although spatial context has been shown to help produce more reliable detection than methods that match local features individually, how to ...
Yuning Jiang 0001   +3 more
openaire   +3 more sources

Spatial Embedding and Spatial Context

2009
A serious issue in urban 2D remote sensing is that even if you can identify linear features it is often difficult to combine these to form the object you want - the building. The classical example is of trees overhanging walls and roofs: it is often difficult to join the linear pieces together.
openaire   +2 more sources

Episodic memory for spatial context biases spatial attention

Experimental Brain Research, 2008
The study explores the bottom-up attentional consequences of episodic memory retrieval. Individuals studied words (Experiment 1) or pictures (Experiment 2) presented on the left or on the right of the screen. They then viewed studied and new stimuli in the centre of the screen.
CIARAMELLI, ELISA, Lin O., Moscovitch M.
openaire   +3 more sources

Externalities in a spatial context

Journal of Public Economics, 1977
Abstract In this paper air pollution externalities are analyzed in an explicit spatial setting that recognizes the spatial interdependence of polluters and their victims. Optimal environmental policies are shown to consist not only of Pigouvian taxes but of two other policies.
openaire   +1 more source

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