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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    

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-tree

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

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    

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    

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    

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    

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    

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    

load carrying capacity of batter pile groups using neural network, random forest regression and M5 modeltree

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    

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1667-3

Abstract:

● Hybrid deep-learning model is proposed for water quality prediction

Keywords: Water quality prediction     Soft-sensor     Anaerobic process     Tree-structured Parzen Estimator    

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 125-135 doi: 10.1007/s11708-015-0392-4

Abstract: First, a mathematical model is proposed using the fault tree analysis (FTA) to estimate the reliabilityThen, an innovative analytical method based on the Markov process is presented to model smart operation

Keywords: smart operation strategy     renewable energy     fault tree analysis (FTA)     Markov model    

Analysis on the establishment of engineering management theory system conceptual model

Wang Qinge,Wang Mengjun,Zheng Junwei,Zhu Weihua

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 103-107

Abstract: This paper establishes the engineering management theory system conceptual model,which is the "tree" model,according to the scientific constructing methods abide by the logic process from abstractThe "tree" model organically links the basic theory,main theory and applied theory, vividly

Keywords: engineering management     theory system     treemodel     main theory    

Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 2,   Pages 227-230 doi: 10.1007/s11705-010-0566-x

Abstract: Tree-like SnO nanodendrites in large amounts have been prepared through two-step reactions.The nanoparticles used as the precursors have taken aggregation forming tree-like or string of nanodendrtieThere are different morphologies between tree-like SnO nanowhiskers and bunch of SnO nanorods.

Keywords: crystal morphology     nano-structures     nanodendrite    

The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 4,   Pages 357-362 doi: 10.15302/J-FASE-2016125

Abstract: The secondary laticifer, a specific tissue in the secondary phloem of rubber tree, is differentiatedThe number of the secondary laticifer in the trunk bark of rubber tree is positively correlated withsuggest that histone acetylation is essential for the secondary laticifer differentiation in rubber tree

Keywords: Hevea brasiliensis     histone acetylation     laticifer differentiation     trichostatin     vascular cambia    

Recognition of Graphite Morphology in Nodular Cast Iron Based on Extenics

Chen Zhibin,Yu Yongquan,Yang Shaomin

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 84-89

Abstract: graphite morphological features, matter-element analysis theory is applied to establish the matter-element modelIn this paper, extension classification tree is proposed.The way of construction and realization of extension classification tree is given.Extension classification tree is used to identify the graphite morphology.

Keywords: matter-element model     extension classification tree     graphite morphology     nodular cast iron    

Title Author Date Type Operation

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

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

load carrying capacity of batter pile groups using neural network, random forest regression and M5 modeltree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

Journal Article

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Journal Article

Analysis on the establishment of engineering management theory system conceptual model

Wang Qinge,Wang Mengjun,Zheng Junwei,Zhu Weihua

Journal Article

Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

Journal Article

The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

Journal Article

Recognition of Graphite Morphology in Nodular Cast Iron Based on Extenics

Chen Zhibin,Yu Yongquan,Yang Shaomin

Journal Article