Works matching DE "RANDOM fields"
Results: 2434
Simultaneous segmentation and classification of lung CT scans for COVID-19 diagnosis: a deep multi-task learning perspective.
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- Neural Computing & Applications, 2025, v. 37, n. 6, p. 4185, doi. 10.1007/s00521-024-10809-8
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Modeling of Diffusion Processes in a Two-Phase Strip with Randomly Distributed Spherical Inclusions Concentrated Near the Boundaries of the Body. I. Construction of a Mathematical Model.
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- Journal of Mathematical Sciences, 2025, v. 287, n. 2, p. 391, doi. 10.1007/s10958-025-07599-2
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Localization in the random XXZ quantum spin chain.
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- Forum of Mathematics, Sigma, 2024, v. 12, p. 1, doi. 10.1017/fms.2024.119
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- Article
Hysteresis-Loop Criticality in Disordered Ferromagnets–A Comprehensive Review of Computational Techniques.
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- Computer Modeling in Engineering & Sciences (CMES), 2025, v. 142, n. 2, p. 1021, doi. 10.32604/cmes.2024.057884
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基于MVBCN-FLW的中文法律文书命名实体识别.
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- Journal of Computer Engineering & Applications, 2025, v. 61, n. 2, p. 219, doi. 10.3778/j.issn.1002-8331.2309-0214
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Non-Local Attention Based CNN Model for Aspect Extraction.
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- Journal of Information Science & Engineering, 2021, v. 37, n. 6, p. 1419, doi. 10.6688/JISE.202111_37(6).0013
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Generalized Gramians: Creating frame vectors in maximal subspaces.
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- Analysis & Applications, 2017, v. 15, n. 1, p. 123, doi. 10.1142/S0219530516500019
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FLOCKING AND NON-FLOCKING BEHAVIOR IN A STOCHASTIC CUCKER-SMALE SYSTEM.
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- Analysis & Applications, 2014, v. 12, n. 1, p. 63, doi. 10.1142/S0219530513500255
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Talbot image formation in random phase field.
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- Optical & Quantum Electronics, 2021, v. 53, n. 11, p. 1, doi. 10.1007/s11082-021-03268-1
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Estimation of tea leaf blight severity in natural scene images.
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- Precision Agriculture, 2021, v. 22, n. 4, p. 1239, doi. 10.1007/s11119-020-09782-8
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Weighted Erdős–Kac Type Theorems Over Gaussian Field In Short Intervals.
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- Acta Mathematica Hungarica, 2020, v. 162, n. 2, p. 465, doi. 10.1007/s10474-020-01087-6
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Nonlinear tolerancing: variation simulation for multi-station assembly with compliant parts.
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- International Journal of Advanced Manufacturing Technology, 2025, v. 136, n. 3, p. 961, doi. 10.1007/s00170-024-14884-y
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Uncertainty propagation in fused filament fabrication process: a multiscale approach.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 1/2, p. 281, doi. 10.1007/s00170-024-14464-0
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Knowledge driven multiview bill of material reconfiguration for complex products in the digital twin workshop.
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- International Journal of Advanced Manufacturing Technology, 2024, v. 130, n. 7/8, p. 3469, doi. 10.1007/s00170-023-12885-x
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On the sensitivity of the three-dimensional random representative finite element model of multiple shot impacts to the SP-induced stress field, Almen intensity, and surface roughness.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 125, n. 5/6, p. 2549, doi. 10.1007/s00170-023-10892-6
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Tool wear recognition and signal labeling with small cross-labeled samples in impeller machining.
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- International Journal of Advanced Manufacturing Technology, 2022, v. 123, n. 11/12, p. 3845, doi. 10.1007/s00170-022-10514-7
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Particle shape effects on the shear behaviors of granular assemblies: irregularity and elongation.
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- Granular Matter, 2021, v. 23, n. 2, p. 1, doi. 10.1007/s10035-021-01096-4
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Stochastic Quantification of Spatial Variability of Flow Fields in Heterogeneous, Non-uniform, Confined Aquifers.
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- Transport in Porous Media, 2024, v. 151, n. 6, p. 1475, doi. 10.1007/s11242-024-02084-x
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Stochastic Periodic Microstructures for Multiscale Modelling of Heterogeneous Materials.
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- Transport in Porous Media, 2024, v. 151, n. 6, p. 1313, doi. 10.1007/s11242-024-02074-z
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A Statistical Finite Element Method Integrating a Plurigaussian Random Field Generator for Multi-scale Modelling of Solute Transport in Concrete.
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- Transport in Porous Media, 2023, v. 148, n. 1, p. 95, doi. 10.1007/s11242-023-01930-8
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Analysis of Compositional Effects on Global Flow Regimes in CO<sub>2</sub> Near-Miscible Displacements in Heterogeneous Systems.
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- Transport in Porous Media, 2019, v. 129, n. 3, p. 743, doi. 10.1007/s11242-019-01304-z
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Random Mixing: An Approach to Inverse Modeling for Groundwater Flow and Transport Problems.
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- Transport in Porous Media, 2016, v. 114, n. 2, p. 241, doi. 10.1007/s11242-015-0608-4
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Stochastic Flow Simulation and Particle Transport in a 2D Layer of Random Porous Medium.
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- Transport in Porous Media, 2010, v. 85, n. 2, p. 347, doi. 10.1007/s11242-010-9567-y
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The relationship between maximum principle and dynamic programming principle for stochastic recursive control problem with random coefficients.
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- ESAIM: Control, Optimisation & Calculus of Variations, 2024, v. 30, p. 1, doi. 10.1051/cocv/2024078
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Optimal Control of Infinite-Dimensional Differential Systems with Randomness and Path-Dependence and Stochastic Path-Dependent Hamilton–Jacobi Equations.
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- ESAIM: Control, Optimisation & Calculus of Variations, 2024, v. 30, p. 1, doi. 10.1051/cocv/2023086
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Incorporating knowledge on the measurement noise in electrical impedance tomography.
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- ESAIM: Control, Optimisation & Calculus of Variations, 2019, v. 25, p. 1, doi. 10.1051/cocv/2018010
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Dust mineralogy and variability of the inner PDS 70 disk: Insights from JWST/MIRI MRS and Spitzer IRS observations.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2024, v. 691, p. 1, doi. 10.1051/0004-6361/202451589
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Dispersion and rotation measures from fast radio burst (FRB) host galaxies based on the TNG50 simulation.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2024, v. 690, p. 1, doi. 10.1051/0004-6361/202347459
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The correct estimate of the probability of false detection of the matched filter in weak-signal detection problems: III. Peak distribution method versus the Gumbel distribution method.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2019, v. 627, p. 1, doi. 10.1051/0004-6361/201834854
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On the projected mass distribution around galaxy clusters: A Lagrangian theory of harmonic power spectra.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2017, v. 605, p. 1, doi. 10.1051/0004-6361/201630091
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An approach to detection of point sources in very high-resolution microwave maps.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2013, v. 556, n. 6, p. 1, doi. 10.1051/0004-6361/201219697
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γ-ray DBSCAN: a clustering algorithm applied to Fermi-LAT γ-ray data I. Detection performances with real and simulated data.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2013, v. 549, p. 1, doi. 10.1051/0004-6361/201220133
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New classes of ground states for the Potts model with random competing interactions on a Cayley tree.
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- Theoretical & Mathematical Physics, 2014, v. 180, n. 1, p. 827, doi. 10.1007/s11232-014-0182-x
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Clustering of a positive random field as a law of nature.
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- Theoretical & Mathematical Physics, 2013, v. 176, n. 3, p. 1252, doi. 10.1007/s11232-013-0104-3
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Effect of compressibility on the annihilation process.
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- Theoretical & Mathematical Physics, 2013, v. 176, n. 1, p. 873, doi. 10.1007/s11232-013-0074-5
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Critical behavior of percolation process influenced by a random velocity field: One-loop approximation.
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- Theoretical & Mathematical Physics, 2013, v. 176, n. 1, p. 898, doi. 10.1007/s11232-013-0077-2
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View of bunching and antibunching from the standpoint of classical signals.
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- Theoretical & Mathematical Physics, 2012, v. 172, n. 1, p. 1017, doi. 10.1007/s11232-012-0092-8
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Evolution in a Gaussian Random Field.
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- Theoretical & Mathematical Physics, 2004, v. 139, n. 3, p. 878, doi. 10.1023/B:TAMP.0000029709.88094.74
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Conditions of ergodicity for random diffusion-type fields.
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- Materials Science, 2008, v. 44, n. 1, p. 70, doi. 10.1007/s11003-008-9045-7
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- Article
Modeling the Motion of Particles in the Potential Force Field with Allowance for the Random Velocity Fluctuations of a Medium.
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- Journal of Engineering Physics & Thermophysics, 2022, v. 95, n. 5, p. 1089, doi. 10.1007/s10891-022-02573-0
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- Article
Distribution of Impact Momenta over a Surface Treated with a Water‐Drop Jet.
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- Journal of Engineering Physics & Thermophysics, 2004, v. 77, n. 2, p. 300, doi. 10.1023/B:JOEP.0000028508.54776.5e
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- Article
DeepPeptide predicts cleaved peptides in proteins using conditional random fields.
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- Bioinformatics, 2023, v. 39, n. 10, p. 1, doi. 10.1093/bioinformatics/btad616
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ActivePPI: quantifying protein–protein interaction network activity with Markov random fields.
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- Bioinformatics, 2023, v. 39, n. 9, p. 1, doi. 10.1093/bioinformatics/btad567
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CoCoNat: a novel method based on deep learning for coiled-coil prediction.
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- Bioinformatics, 2023, v. 39, n. 8, p. 1, doi. 10.1093/bioinformatics/btad495
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NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction.
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- Bioinformatics, 2022, v. 38, n. 20, p. 4762, doi. 10.1093/bioinformatics/btac569
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Predicting human microbe–drug associations via graph convolutional network with conditional random field.
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- Bioinformatics, 2020, v. 36, n. 19, p. 4918, doi. 10.1093/bioinformatics/btaa598
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Advancing PICO element detection in biomedical text via deep neural networks.
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- Bioinformatics, 2020, v. 36, n. 12, p. 3856, doi. 10.1093/bioinformatics/btaa256
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Towards reliable named entity recognition in the biomedical domain.
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- Bioinformatics, 2020, v. 36, n. 1, p. 280, doi. 10.1093/bioinformatics/btz504
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DIFFUSE: predicting isoform functions from sequences and expression profiles via deep learning.
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- Bioinformatics, 2019, v. 35, n. 14, p. i284, doi. 10.1093/bioinformatics/btz367
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PySeqLab: an open source Python package for sequence labeling and segmentation.
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- Bioinformatics, 2017, v. 33, n. 21, p. 3497, doi. 10.1093/bioinformatics/btx451
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