Results 21 to 30 of about 2,133,508 (317)
From Topology to Generalised Dimensional Reduction [PDF]
In the usual procedure for toroidal Kaluza-Klein reduction, all the higher-dimensional fields are taken to be independent of the coordinates on the internal space.
Lavrinenko, I. V., Lu, H., Pope, C. N.
core +2 more sources
Thickness of tectonically deformed coal (TDC) has positive correlations with the susceptible gas outbursts in coal mines. To predict the TDC thickness of the coalbed, we proposed a prediction method using seismic attributes based on the deep belief ...
Xin Wang, Tongjun Chen, Hui Xu
doaj +1 more source
Investigation of Metastable Low Dimensional Halometallates
The solvothermal synthesis, structure determination and optical characterization of five new metastable halometallate compounds, [1,10-phenH][Pb3.5I8] (1), [1,10-phenH2][Pb5I12]·(H2O) (2), [1,10-phen][Pb2I4] (3), [1,10-phen]2[Pb5Br10] (4) and [1,10-phenH]
Navindra Keerthisinghe +6 more
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Dimensional Reduction for Conformal Blocks [PDF]
We consider the dimensional reduction of a CFT, breaking multiplets of the d-dimensional conformal group SO(d+1,1) up into multiplets of SO(d,1). This leads to an expansion of d-dimensional conformal blocks in terms of blocks in d-1 dimensions.
Hogervorst, Matthijs
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SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM
IntroductionIdentification of complex associations between diseases and microbes is important to understand the pathogenesis of diseases and design therapeutic strategies.
Feixiang Wang +5 more
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The dynamics of coset dimensional reduction [PDF]
The evolution of multiple scalar fields in cosmology has been much studied, particularly when the potential is formed from a series of exponentials. For a certain subclass of such systems it is possible to get `assisted` behaviour, where the presence of ...
B. S. DeWit +4 more
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Vacuum polarization in two-dimensional static spacetimes and dimensional reduction [PDF]
We obtain an analytic approximation for the effective action of a quantum scalar field in a general static two-dimensional spacetime. We apply this to the dilaton gravity model resulting from the spherical reduction of a massive, non-minimally coupled ...
Akira Tomimatsu +28 more
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Binary Codes Based on Non-Negative Matrix Factorization for Clustering and Retrieval
Traditional non-negative matrix factorization methods cannot learn the subspace from the high-dimensional data space composed of binary codes. One hopes to discover a compact parts-based representation composed of binary codes, which can uncover the ...
Jiang Xiong +3 more
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Mixing Autoencoder With Classifier: Conceptual Data Visualization
In this paper, a neural network that is able to form a low-dimensional topological hidden representation is explained. The neural network can be trained as an autoencoder, as a classifier or as a mixture of both and produces a different low-dimensional ...
Pitoyo Hartono
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Deep learning neural network serves as a powerful tool for visual anomaly detection (AD) and fault diagnosis, attributed to its strong abstractive interpretation ability in the representation domain.
Jie Lin, Song Chen, Enping Lin, Yu Yang
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