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Improved Matching Algorithms for Linear Face Class Model

Fu Yun,Zheng Nanning

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 47-56

Abstract: An improved Stochastic Gradient Descent (SGD) algorithm based on the Correlative Disturbance (CD) and

Keywords： facial modeling     model matching     stochastic gradient descent     non-uniform sampling     multiresolution analysis    

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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: In this study, we propose and compare stochastic variants of the extra-gradient alternating directionmethod, named the stochastic extra-gradient alternating direction method with Lagrangian function (SEGL) and the stochastic extra-gradient alternating direction method with augmented Lagrangian function (

Keywords： Stochastic optimization     Graph-guided minimization     Extra-gradient method     Fused logistic regression     Graph-guided    

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Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Engineering 2019, Volume 5, Issue 3,   Pages 586-593 doi: 10.1016/j.eng.2018.12.009

Abstract: A hybrid multi-subgradient descent bundle method with an adaptive learning rate algorithm (HMSGDBA),which combines the multisubgradient descent bundle (MSGDB) method with Adam algorithm, is introduced

Keywords： Drop-on-demand printing     Inkjet printing     Gradient descent multi-objective optimization     Fully connected    

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prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: traditional compressive strength test, this study combines five novel metaheuristic algorithms with extreme gradientThe results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 187-197 doi: 10.1007/s11465-015-0339-9

Abstract:

In this paper, for the first time, the modified strain gradient theory is used as a new size-dependentAfter obtaining the governing equations based on modified strain gradient theory via principle of minimum

Keywords： graphene     van der Waals (vdW) force     modi- fied strain gradient elasticity theory     size effect parameter    

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 105-106 doi: 10.1007/s11709-015-0297-7

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Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1520-1530 doi: 10.1007/s11709-020-0672-x

Abstract: undertake two models to capture the nanostructure nonlocal size effects: the strain and the velocity gradientThe structural nonlinear behavior of the system assuming both strain and velocity gradient theories is

Keywords： velocity gradient elasticity theory     nanotube resonators     differential-quadrature method     nonlinear vibration    

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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectionalLaminated composites are widely used in civil engineering, and therefore multiscale stochastic analysisThis study deals with the stochastic response of a laminated composite plate against the microscopicrandom variation in addition to a random variation of fiber orientation in each lamina, and stochasticFrom the numerical results, importance of the multiscale stochastic analysis for reliability evaluation

Keywords： stochastic homogenization     multiscale stochastic analysis     microscopic random variation     laminated composite    

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Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4,   Pages 379-384 doi: 10.1007/s11709-012-0180-8

Abstract: Based on this drawback, a new, more efficient stochastic calculation method, an improvement on the pseudo-excitationshown that the presented method can produce accurate results while increasing the efficiency of the stochastic

Keywords： isolated structure     stochastic response     non-proportional damping     efficient     accurate     pseudo-excitation    

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A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration Research Articles

Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11,   Pages 1463-1476 doi: 10.1631/FITEE.2000615

Abstract: To accelerate the convergence of existing distributed stochastic first-order gradient methods, a momentumterm is combined with a gradient-tracking technique.

Keywords： 分布式优化；高性能算法；多智能体系统；机器学习问题；随机梯度    

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systemsOn the basis of the scale and level of details of operations, we can study stochastic systems using microSuch a classification unifies stochastic modeling theory.

Keywords： stochastic modeling     QBD process     PH distribution     heavy traffic limits     diffusion process    

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toand we discuss the difficulties and possible future research topics in the study of discrete-event stochastic

Keywords： discrete-event stochastic system     correlated input     performance evaluation    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: Gradient Boosting (GB) technique was developed and evaluated in combination with three different optimization

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords： uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveSimulation results demonstrate that the gradient-based scheme has the best performance, in terms of bothFurthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Title Author Date Type Operation

Improved Matching Algorithms for Linear Face Class Model

Fu Yun,Zheng Nanning

Journal Article

Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Journal Article

Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Journal Article

prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient

Journal Article

Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Journal Article

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Journal Article

Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Journal Article

A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration

Bihao Sun, Jinhui Hu, Dawen Xia, Huaqing Li,huaqingli@swu.edu.cn

Journal Article

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article