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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmsthis paper, this is applied to identify crack location and depth in a cantilever beam using the new hybridalgorithms.The results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: In this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (other benchmark models, namely logistic regression (LR) and radial basis function regression (RBFR) algorithms

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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Decitabine induces -mediated immune responses in p53-mutated triple-negative breast cancer: a clinical

Frontiers of Medicine doi: 10.1007/s11684-023-1016-8

Abstract: Here, we reposition decitabine for triple-negative breast cancer (TNBC), a subtype with frequent p53

Keywords： p53 mutation     triple-negative breast cancer     decitabine     DNMT1     IRF7     innate immune response    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting treesand optimization algorithms

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

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 355-362 doi: 10.1007/s11708-016-0414-x

Abstract: The proposed optimal scheduling problem is solved using the hybrid differential evolution and harmonysearch (hybrid DE-HS) algorithm including the wind energy generators and solar PV system along with

Keywords： battery storage     electric vehicles (EVs)     microgrid (MG)     optimal scheduling     solar photovoltaic (PV) system     wind energy conversion system    

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Progress in systemic therapy for triple-negative breast cancer

Hongnan Mo, Binghe Xu

Frontiers of Medicine 2021, Volume 15, Issue 1,   Pages 1-10 doi: 10.1007/s11684-020-0741-5

Abstract: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer with a heterogeneous

Keywords： triple-negative breast cancer     immunotherapy     targeted therapy    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: Simplified analytical algorithms for four stress stages are established to describe the bearing behaviorsUsing the proposed simplified analytical algorithms, a parametric investigation is conducted to discuss

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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Energy-efficient recovery of tetrahydrofuran and ethyl acetate by triple-column extractive distillation

Ao Yang, Yang Su, Tao Shi, Jingzheng Ren, Weifeng Shen, Teng Zhou

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 303-315 doi: 10.1007/s11705-021-2044-z

Abstract: An energy-efficient triple-column extractive distillation process is developed for recovering tetrahydrofuranSubsequently, the direct and indirect triple-column extractive distillation processes are proposed in

Keywords： extractive distillation     solvent selection     conceptual design     process optimization     heat integration    

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: minimum mass of the studied part, is proposed by combining the response surface method and genetic algorithms

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing

Keywords： surface topography     measurement     optical interferometry     coherence envelope     phase-shifting algorithm    

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt the same time some typical algorithms are analyzed and compared.

Keywords： data mining     association rule     algorithms     survey    

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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract: The researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonoptimization and decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary algorithms

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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The Cloud Control Method and Balancing Patterns of Triple Link Inverted Pendulum Systems

Li Deyi

Strategic Study of CAE 1999, Volume 1, Issue 2,   Pages 41-46

Abstract: cloud models for mapping between qualitative and quantitative knowledge is presented in this paper.The algorithms

Keywords： intelligent control     cloud models     qualitative reasoning     inverted pendulum    

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Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine isIn order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) methodThe average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentageDetailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid

Keywords： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

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Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 490-505 doi: 10.1007/s11709-020-0669-5

Abstract: This study investigates the performance of four machine learning (ML) algorithms to evaluate the earthquake-inducedThe BBN structures that were developed by ML algorithms-K2, hill climbing (HC), tree augmented naiveThe results of this study can provide theoretical support for researchers in selecting appropriate ML algorithms

Keywords： seismic soil liquefaction     Bayesian belief network     cone penetration test     parameter learning     structural learning    

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Title Author Date Type Operation

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Journal Article

Decitabine induces -mediated immune responses in p53-mutated triple-negative breast cancer: a clinical

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting treesand optimization algorithms

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

Journal Article

Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm

S. SURENDER REDDY,Jae Young PARK,Chan Mook JUNG

Journal Article

Progress in systemic therapy for triple-negative breast cancer

Hongnan Mo, Binghe Xu

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Energy-efficient recovery of tetrahydrofuran and ethyl acetate by triple-column extractive distillation

Ao Yang, Yang Su, Tao Shi, Jingzheng Ren, Weifeng Shen, Teng Zhou

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

The Cloud Control Method and Balancing Patterns of Triple Link Inverted Pendulum Systems

Li Deyi

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Journal Article