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Journal Article 1390

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oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches wereM5 model tree provides simple linear relation which can be used for the prediction of oblique load forModel developed using RF regression approach with smooth pile group data was found to be in good agreement

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1083-1096 doi: 10.1007/s11709-020-0654-z

Abstract: In this study, three machine learning methods entitled Gaussian process regression, M5P model tree, and

Keywords： transportation infrastructure     flexible pavement     structural number prediction     Gaussian process regression     M5Pmodel tree     random forest    

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Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 424-429 doi: 10.1007/s11708-010-0015-z

Abstract: conducted to investigate the effects of temperature on pyrolytic products, and to reveal the effect of HZSM-5and M/HZSM-5 (M= Fe, Zn) zeolites on pyrolysis vapors.Catalytic cracking of pyrolysis vapors with HZSM-5 and M/HZSM-5 (M= Fe, Zn) catalysts significantly alteredM/HZSM-5 catalysts were more effective than HZSM-5 in reducing the oxygen-containing compounds, and therefore, they helped to produce higher contents of hydrocarbons than HZSM-5.

Keywords： xylan     fast pyrolysis     catalytic pyrolysis     Py-GC/MS     HZSM-5    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision treeThe decision tree model was built using the content elements stored in the SCD, design companies, bridgeThe inverse-calculation method was applied to extract the weight factors from the decision tree model

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision treemodel    

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 194-212 doi: 10.1007/s11709-020-0688-2

Abstract: this study, we carried out nonlinear finite element simulations to predict the performance of a column-treeEmploying the Taguchi method for variables 2–5 and their levels, 9 samples were designed for the parameter

Keywords： column-tree moment connection     Finite element model     parametric study     fire     regression models     gene expression    

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Four-protein model for predicting prognostic risk of lung cancer

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 618-626 doi: 10.1007/s11684-021-0867-0

Abstract: HSP90β combined with CEA, CA125, and CYFRA21-1 were used to construct a recursive partitioning decision treemodel to establish a four-protein diagnostic model and predict the survival of patients with lung cancerSurvival analysis showed that the recursive partitioning decision tree could distinguish the prognosis

Keywords： lung cancer     HSP90β     decision tree model     prognosis    

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Development of machine learning multi-city model for municipal solid waste generation prediction

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1551-6

Abstract:

● A database of municipal solid waste (MSW) generation in China was established.

Keywords： Municipal solid waste     Machine learning     Multi-cities     Gradient boost regression tree    

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 98-108 doi: 10.1631/FITEE.1400165

Abstract: We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

Keywords： Kd tree     Quad tree     Space partitioning     Spatial indexing     Range queries     Query optimization    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decisioncharacteristics of the decision tree, which is by no means a simple combination of the two models.The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support moreaccuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical

Keywords： cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decision tree    

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Catalytic hydrogenation of insoluble organic matter of CS/Acetone from coal over mesoporous HZSM-5 supported

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 10,   Pages 1505-1513 doi: 10.1007/s11705-022-2164-0

Abstract: Four supported catalysts, nickel and ruthenium on a HZSM-5 support, were prepared by equal volume impregnationproperties of catalysts were investigated by catalytic hydro-conversion of 2,2′-dinaphthyl ether as the modeland extraction residue of Naomaohu lignite as the sample under an initial H2 pressure of 5According to the catalytic hydro-conversion results of the model compound, Ni−Ru/HZSM-5 exhibited theheterolytically split H···H into immobile H‒ attached on the acidic centers of Ni−Ru/HZSM-5

Keywords： HZSM-5     Ni-based catalyst     catalytic hydrogenation     coal     model compound    

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Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 256-278 doi: 10.1007/s11708-018-0583-x

Abstract: It is an independent study on the Russian new proposed FAs, called TVS-2M, which would be applied forThe TVS-2M FA contains gadolinium-oxide which is mixed with UO (for different Gd densities and U-235The new type TVS-2M Fas are modeled by the SARCS software package to find the PMAXS format for threeIn addition, the WIMS-D5 code is suggested for steady core modeling including TVS-2M FAs and/or TVS FAscorresponds to 1.18 MW d/kgU increase of burn-up) is the best improving aim of the new FA type called TVS-2M.

Keywords： TVS-2M FAs     core design basis limits     VVER-1000     analysis     mixture of uranium-gadolinium oxides fuels     thermal-hydraulics     PARCS     WIMS-D5    

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Oxidation-extraction desulfurization of model oil over Zr-ZSM-5/SBA-15 and kinetic study

Chuanzhu LU,Hui FU,Huipeng LI,Hua ZHAO,Tianfeng CAI

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 2,   Pages 203-211 doi: 10.1007/s11705-014-1420-3

Abstract: ZSM-5/SBA-15 composite molecular sieves were synthesized using post-synthesis method and characterizedThe oxidative-extration desulfurization of model oil was investigated by using hydrogen peroxide as theSBA-15, Ag-ZSM-5/SBA-15, Ce-ZSM-5/SBA-15 as catalyst.-5/SBA-15>Ag-ZSM-5/SBA-15.The highest desulfurization rate is 84.53% under the catalysis of Zr-ZSM-5/SBA-15.

Keywords： composite molecular sieve     oxidation desulfuration     extraction     kinetic    

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Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 214-226 doi: 10.15302/J-FEM-2017022

Abstract: The empirical Complex Model developed by the US Environmental Protection Agency (EPA) is used by refinersThe difficulty in implementing this model in the blending process stems from the implicit definitionof Complex Model through a series of disjunctions assembled by the EPA in the form of spreadsheets.The first objective of this study is to present a new model that decreases the execution time of ourOur approach introduces a new way to write the Complex Model without any binary or integer variables.

Keywords： emissions     reformulated gasoline     online control     global optimization    

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A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline Article

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1228-1244 doi: 10.1631/FITEE.1500386

Abstract: Second, an excessive area model is designed to guide MSA to find feasible solutions readily.Additionally, B*-tree representation is known as a veryuseful method for characterizing floorplanning

Keywords： Fixed-outline floorplanning     Modified simulated annealing algorithm     Global search     Excessive area model     B*-tree representation    

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The strategy on the Tree Paeony ) Oil Industry in China

Li Yucai

Strategic Study of CAE 2014, Volume 16, Issue 10,   Pages 58-63

Abstract:

the seed of tree paeony native to china could be squeezed oil with highIt is very important to develop the tree paeony oil industry for the safety of Chinese food oil production

Keywords： Oil tree paeony     Tree oil plant     Engineering     Strategics    

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Title Author Date Type Operation

oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Estimation of flexible pavement structural capacity using machine learning techniques

Nader KARBALLAEEZADEH, Hosein GHASEMZADEH TEHRANI, Danial MOHAMMADZADEH SHADMEHRI, Shahaboddin SHAMSHIRBAND

Journal Article

Fast and catalytic pyrolysis of xylan: Effects of temperature and M/HZSM-5 (M= Fe, Zn) catalysts on pyrolytic

Xifeng ZHU, Qiang LU, Wenzhi LI, Dong ZHANG,

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

Journal Article

Four-protein model for predicting prognostic risk of lung cancer

Journal Article

Development of machine learning multi-city model for municipal solid waste generation prediction

Journal Article

Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Catalytic hydrogenation of insoluble organic matter of CS/Acetone from coal over mesoporous HZSM-5 supported

Journal Article

Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Journal Article

Oxidation-extraction desulfurization of model oil over Zr-ZSM-5/SBA-15 and kinetic study

Chuanzhu LU,Hui FU,Huipeng LI,Hua ZHAO,Tianfeng CAI

Journal Article

Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

Journal Article

A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Journal Article

The strategy on the Tree Paeony ) Oil Industry in China

Li Yucai

Journal Article