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19972026
most citedSINGS: The SIRTF Nearby Galaxies Survey

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cs.CV2020

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun +3

Weakly-supervised learning has attracted growing research attention on medical lesions segmentation due to significant saving in pixel-level annotation cost. However, 1) most exist…

math.NA2020★ 1 cited

A stabilizer free, pressure robust, and superconvergence weak Galerkin finite element method for the Stokes Equations on polytopal mesh

Lin Mu, Xiu Ye, Shangyou Zhang

In this paper, we propose a new stabilizer free and pressure robust WG method for the Stokes equations with super-convergence on polytopal mesh in the primary velocity-pressure for…

cs.CY2020

Multi-Objective Optimization for Sustainable Closed-Loop Supply Chain Network Under Demand Uncertainty: A Genetic Algorithm

Ahmad Sobhan Abir, Ishtiaq Ahmed Bhuiyan, Mohammad Arani +1

Supply chain management has been concentrated on productive ways to manage flows through a sophisticated vendor, manufacturer, and consumer networks for decades. Recently, energy a…

math.NA2020

A polynomial lifting operator on polygons and polyhedrons

Xiu Ye, Shangyou Zhang

A polynomial lifting operator is defined on polygons and polyhedrons. It lifts discontinuous polynomials inside the polygon/polyhedron and on the faces to a one-piece $P_…

math.NA2020★ 1 cited

A stabilizer free WG Method for the Stokes Equations with order two superconvergence on polytopal mesh

Xiu Ye, Shangyou Zhang

A stabilizer free WG method is introduced for the Stokes equations with superconvergence on polytopal mesh in primary velocity-pressure formulation. Convergence rates two order hig…

math.NA2020★ 3 cited

A stabilizer free weak Galerkin finite element method on polytopal mesh: Part II

Xiu Ye, Shangyou Zhang

A stabilizer free weak Galerkin (WG) finite element method on polytopal mesh has been introduced in Part I of this paper (J. Comput. Appl. Math, 371 (2020) 112699. arXiv:1906.06634…

cs.CV2020★ 4 cited

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation

Jiahua Dong, Yang Cong, Gan Sun +2

Unsupervised domain adaptation without consuming annotation process for unlabeled target data attracts appealing interests in semantic segmentation. However, 1) existing methods ne…

math.NA2020★ 16 cited

A conforming discontinuous Galerkin finite element method for the Stokes problem on polytopal meshes

Xiu Ye, Shangyou Zhang

A new discontinuous Galerkin finite element method for the Stokes equations is developed in the primary velocity-pressure formulation. This method employs discontinuous polynomials…

math.NA2020★ 2 cited

A stabilizer-free pressure-robust finite element method for the Stokes equations

Xiu Ye, Shangyou Zhang

In this paper, we introduce a new finite element method for solving the Stokes equations in the primary velocity-pressure formulation. This method employs finite elements…

math.NA2020★ 1 cited

De Rham Complexes for Weak Galerkin Finite Element Spaces

Chunmei Wang, Junping Wang, Xiu Ye +1

Two de Rham complex sequences of the finite element spaces are introduced for weak finite element functions and weak derivatives developed in the weak Galerkin (WG) finite element…

math.NA2020

A new weak gradient for the stabilizer free weak Galerkin method with polynomial reduction

Xiu Ye, Shangyou Zhang

The weak Galerkin (WG) finite element method is an effective and flexible general numerical technique for solving partial differential equations. It is a natural extension of the c…

math.NA2020★ 5 cited

Numerical investigation on weak Galerkin finite elements

Xiu Ye, Shangyou Zhang

The weak Galerkin (WG) finite element method is an effective and flexible general numerical technique for solving partial differential equations. The novel idea of weak Galerkin fi…

cs.CV2020★ 21 cited

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun +2

Unsupervised domain adaptation has attracted growing research attention on semantic segmentation. However, 1) most existing models cannot be directly applied into lesions transfer…

math.NA2020★ 3 cited

A stabilizer free weak Galerkin element method with supercloseness of order two

Ahmed Al-Taweel, Xiaoshen Wang, Xiu Ye +1

The weak Galerkin (WG) finite element method is an effective and flexible general numerical techniques for solving partial differential equations. A simple weak Galerkin finite ele…

math.NA2020

The lowest-order stabilizer free Weak Galerkin Finite Element Method

Ahmed Al-Taweel, Xiaoshen Wang

Recently, a new stabilizer free weak Galerkin method (SFWG) is proposed, which is easier to implement and more efficient. The main idea is that by letting for some $j…

eess.SP2020★ 2 cited

Analysis of Electricity Production Networks Using Mathematical and Simulation Method in Photovoltaic Power Generations

Mohsen MomeniTabar, Zhila Dehdari Ebrahimi, Mohammad Arani

Currently waste of energy is one of the most important issues, power plants are encountered all over the world. In this study, two mathematical programming models are presented to…

econ.GN2020★ 1 cited

A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World

Mohsen Momenitabar, Zhila Dehdari Ebrahimi, Mohammad Arani

The installation of high-speed rail in the world during the last two decades resulted in significant socioeconomic and environmental changes. The U.S. has the longest rail network…

eess.SP2020★ 13 cited

Optimizing the Total Production and Maintenance Cost of an Integrated Multi-Product Process and Maintenance Planning (IPPMP) Model

Mohammad Arani, Mousaalreza Dastmard, Zhila Dehdari Ebrahimi +2

Today, a competitive manufacturing environment imposes further production cost reduction on modern companies. Seeking proper recommendations in production and maintenance planning…

eess.SP2020

Coherency Detection and Network Partitioning based on Hierarchical DBSCAN

Faycal Znidi, Hamzeh Davarikia, Mohammad Arani +1

After a sudden disturbance, the energy balance of generators is disturbed, and the power outputs of synchronous generators vary as their rotor angles shift from their equilibrium p…

eess.SP2020★ 3 cited

Routing of Electric Vehicles in a Stochastic Network with Non-recurrent Incidents

Mohammad Arani, Mohammad Mehdi Rezvani, Hamzeh Davarikia +1

An approach for mapping an electric vehicle EV driver s travel time constraints and risk taking behavior to real time routing in a probabilistic time-dependent or stochastic networ…