Results 21 to 30 of about 2,142,422 (318)
Classical aspects of lightlike dimensional reduction [PDF]
, 2006 Some aspects of lightlike dimensional reduction in flat spacetime are studied with emphasis to classical applications. Among them the Galilean transformation of shadows induced by inertial frame changes is studied in detail by proving that, (i) the ...
E. Minguzzi, E. Minguzzi
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Energies, 2020 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
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IEEE Open Journal of Instrumentation and Measurement, 2022 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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Vacuum polarization in two-dimensional static spacetimes and dimensional reduction [PDF]
, 2002 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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Investigation of Metastable Low Dimensional Halometallates
Molecules, 2022 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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Self-completeness and spontaneous dimensional reduction [PDF]
, 2013 A viable quantum theory of gravity is one of the biggest challenges facing physicists. We discuss the confluence of two highly expected features which might be instrumental in the quest of a finite and renormalizable quantum gravity -- spontaneous ...
A. Bonanno +42 more
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SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM
Frontiers in Microbiology, 2023 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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Binary Codes Based on Non-Negative Matrix Factorization for Clustering and Retrieval
IEEE Access, 2020 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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Dimensional reduction of dual topological theories [PDF]
, 1996 We describe the reduction from four to two dimensions of the SU(2) Donaldson-Witten theory and the dual twisted Seiberg-Witten theory, i.e. the Abelian topological field theory corresponding to the Seiberg--Witten monopole equations.Comment: LateX, 6 ...
Olsen, Kasper
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Mixing Autoencoder With Classifier: Conceptual Data Visualization
IEEE Access, 2020 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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