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High-order half-step compact numerical approximation for fourth-order parabolic PDEs
The aim of this study is to develop compact difference method to approximate parabolic PDEs of fourth order equipped with Dirichlet and Neumann...
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Fixed-time stabilization of output-constrained stochastic high-order nonlinear systems
In this study, the fixed-time stabilization problem of stochastic high-order nonlinear systems with output constraint and high-order and low-order...
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Families of high-order simultaneous methods with several corrections
In this paper, we propose the idea for combining several iteration functions in order to construct new families of iterative methods with both...
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DAC-HPP: deep attributed clustering with high-order proximity preserve
Attributed graph clustering, the task of grou** nodes into communities using both graph structure and node attributes, is a fundamental problem in...
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Consider high-order consistency for multi-view clustering
Tensor-based multi-view clustering has attracted intensive attention due to the effectiveness of exploiting multi-view data information. However,...
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High-order proximity and relation analysis for cross-network heterogeneous node classification
Cross-network node classification aims to leverage the labeled nodes from a source network to assist the learning in a target network. Existing...
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Sparse feature selection via local feature and high-order label correlation
Recently, some existing feature selection approaches neglect the correlation among labels, and almost manifold-based multilabel learning models do...
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Mask Compression: High-Order Masking on Memory-Constrained Devices
Masking is a well-studied method for achieving provable security against side-channel attacks. In masking, each sensitive variable is split into d...
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High-order nonstandard finite difference methods preserving dynamical properties of one-dimensional dynamical systems
In this work, we introduce a simple and efficient approach for constructing dynamically consistent and high-order nonstandard finite difference...
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Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions
Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex...
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Prescribed-time stabilization and inverse optimal control of stochastic high-order nonlinear systems
This paper investigates the prescribed-time state-feedback stabilization and prescribed-time inverse optimality problems for stochastic high-order...
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High-order nonnegative blind source separation based on edge features
The nonnegative blind source separation (NBSS) algorithm based on minimum volume simplex (MVS) criterion is excessively dependent on the shape of the...
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On Decoding High-Order Interleaved Sum-Rank-Metric Codes
We consider decoding of vertically homogeneous interleaved sum-rank-metric codes with high interleaving order...
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Construction of high order numerical methods for solving fourth order nonlinear boundary value problems
In this paper, we construct numerical methods of fourth, sixth and eighth orders convergence for solving fully fourth order nonlinear differential...
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A high-order SRCR-DG method for simulating viscoelastic flows at high Weissenberg numbers
The high Weissenberg number problem (HWNP) has been regarded as a key challenge in computational rheology. Develo** stable and flexible numerical...
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Predictive sliding-mode control of networked high-order fully actuated systems under random deception attacks
This research addresses the output tracking of networked high-order fully actuated (NHOFA) systems under random deception attacks in the sensor to...
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High-Order Correlation Embedding for Large-Scale Multi-modal Hashing
Benefitting from the superb storage and computational efficiency, hashing has received considerable research attention on large-scale multi-modal...
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Spiro: Order-Preserving Visualization in High Performance Computing Monitoring
As High-Performance Computing (HPC) is moving closer to entering the exascale era, monitoring HPC systems is becoming increasingly important and...
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Early prediction of sepsis using a high-order Markov dynamic Bayesian network (HMDBN) classifier
Sepsis is among the leading causes of morbidity, mortality and high costs in the ICU. The early prediction and intervention of sepsis is a...
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High-order deep infomax-guided deformable transformer network for efficient lane detection
With the development of deep learning, lane detection models based on deep convolutional neural networks have been widely used in autonomous driving...
