Results 11 to 20 of about 30,389 (241)

Continuous and Discrete ZND Models with Aid of Eleven Instants for Complex QR Decomposition of Time-Varying Matrices

Mathematics, 2023
The problem of QR decomposition is considered one of the fundamental problems commonly encountered in both scientific research and engineering applications.
Jianrong Chen, Xiangui Kang, Yunong Zhang   +2 more
doaj   +1 more source

Spontaneous dimensional reduction? [PDF]

AIP Conference Proceedings, 2012
To appear in Proc.
openaire   +2 more sources

Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings

Sensors, 2017
This paper presents a supervised feature extraction method called weighted kernel entropy component analysis (WKECA) for fault diagnosis of rolling bearings.
Hongdi Zhou, Tielin Shi, Guanglan Liao, Jianping Xuan, Jie Duan, Lei Su, Zhenzhi He, Wuxing Lai   +7 more
doaj   +1 more source

Compressing Fisher Vector for Robust Face Recognition

IEEE Access, 2017
One major topic for robust face recognition could be the efficient encoding of facial descriptors. Among various encoders, Fisher vector (FV) is one of the probabilistic methods that yield promising results.
Hongjun Wang, Jiani Hu, Weihong Deng
doaj   +1 more source

Emergence of time persistence in a data-driven neural network model

eLife, 2023
Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swimming
Sebastien Wolf, Guillaume Le Goc, Georges Debrégeas, Simona Cocco, Rémi Monasson   +4 more
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

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
doaj   +1 more source

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

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
doaj   +1 more source