Results 21 to 30 of about 2,159,479 (219)

Dimension and Dimensional Reduction in Quantum Gravity

Universe, 2019
If gravity is asymptotically safe, operators will exhibit anomalous scaling at the ultraviolet fixed point in a way that makes the theory effectively two-dimensional.
Steven Carlip
doaj   +1 more source

Thickness Distribution Prediction for Tectonically Deformed Coal with a Deep Belief Network: A Case Study

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
doaj   +1 more source

Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative Analysis

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
doaj   +1 more source

Supersymmetry Breaking by Dimensional Reduction over Coset Spaces [PDF]

, 2000
We study the dimensional reduction of a ten-dimensional supersymmetric E_8 gauge theory over six-dimensional coset spaces. We find that the coset space dimensional reduction over a symmetric coset space leaves the four dimensional gauge theory without ...
Alvarez-Gaumé, Antoniadis, Antoniadis, Antoniadis, Bais, Barnes, Batakis, Chapline, Chapline, Delgado, Derendinger, Dienes, Dimopoulos, Fahri, Farakos, Farakos, Ferrara, Ferrara, Forgacs, Forgacs, Forgacs, Fujikawa, G. Zoupanos, Girandello, Green, Green, Harnad, Harnad, Harnad, Hill, Hill, Hill, Horava, Hosotani, Iliopoulos, Kapetanakis, Kapetanakis, Kapetanakis, Kapetanakis, Kapetanakis, Kephart, Kobayashi, Kozimirov, Kubo, Kubo, Kubyshin, Kubyshin, Luest, Luest, Luest, Manton, Marciano, Muller-Hoissen, Munoz, Nilles, P. Manousselis, Palla, Pilch, Pilch, Sakai, Taylor, Triantaphyllou, Triantaphyllou, Wess, Wetterich, Witten, Witten, Witten, Zoupanos, Zoupanos   +69 more
core   +4 more sources

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, Matthew S. Christian, Anna A. Berseneva, Gregory Morrison, Vladislav V. Klepov, Mark D. Smith, Hans-Conrad zur Loye   +6 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, Huandong Yang, Yan Wu, Lihong Peng, Xiaoling Li, Xiaoling Li   +5 more
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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
core   +3 more sources

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, Yingyin Tao, Meng Zhang, Huaqing Li   +3 more
doaj   +1 more source

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
doaj   +1 more source

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
core   +2 more sources