Results 281 to 290 of about 27,957 (314)
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On Distributional Marchi-Zgrablich Transformation

IMA Journal of Applied Mathematics, 1985
The authors extend the classical Marchi-Zgrablich transformations to generalized functions. A testing-function space \(MZ_{m,\nu}(I)\) and its dual are defined. The Marchi-Zgrablich transform of a generalized function \(f\in MZ_{m,\nu}(I)\) is defined as: \[ F(n)=, \] (details of the kernel \(xS_{\nu}\) are omitted) \(n=1,2,3,...;m\geq\), \(\nu\geq -\),
Bhosale, S. D., More, S. V.
openaire   +1 more source

Distributed parallelism of graph transformations

1988
Parallelism of graph transformations for distributed state graphs is studied in the framework of the algebraic theory of graph grammars. The distributed parallelism theorem provides a bijective correspondence between distributed local derivations and parallel derivations of corresponding global states.
Hartmut Ehrig   +3 more
openaire   +1 more source

Organoarsenicals. Distribution and Transformation in the Environment

2010
The widespread distribution of organoarsenic compounds has been reviewed in terms of the five kingdoms of life. Over 50 organoarsenicals are described. Pathways for their formation are discussed and significant data gaps have been identified.
Kenneth J, Reimer   +2 more
openaire   +2 more sources

Distributed Graph Transformation Units

2002
Transformation units are a structuring principle for graph transformation systems. In this paper we introduce distributed transformation units that can be used to model distributed graph transformation systems. A distributed transformation unit consists of a set of local transformation units which are connected via interface units.
Peter Knirsch 0001, Sabine Kuske
openaire   +1 more source

Transformers in medical imaging: A survey

Medical Image Analysis, 2023
Fahad Shamshad   +2 more
exaly  

Transformers in Vision: A Survey

ACM Computing Surveys, 2022
Salman Khan   +2 more
exaly  

A survey of the vision transformers and their CNN-transformer based variants

Artificial Intelligence Review, 2023
Asifullah Khan   +2 more
exaly  

Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review

Applied Sciences (Switzerland), 2023
JOSÉ Mauricio   +2 more
exaly  

Transformers in Remote Sensing: A Survey

Remote Sensing, 2023
Abdulaziz Amer Aleissaee   +2 more
exaly  

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