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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: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decisiontree methods by rebuilding the output decision layer of CNN according to the hierarchical structuralcharacteristics of the decision tree, which is by no means a simple combination of the two models.

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network     decisiontree    

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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: the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decisiontree.The 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     decisiontree model    

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The application of decision tree to the estimation for cable staten

Sun Qiuye,Zhang Huaguang,Zhang Tieyan

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 90-94

Abstract: The decision tree is employed to classify the insulation state.The subtrees can be formed by all kinds of data, then the final decision tree is composed of the subtrees

Keywords： decision tree     classify     data mining     insulation of cable    

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

Keywords： lung cancer     HSP90β     decision tree model     prognosis    

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its compressive strength (CS) is a critical mechanical property that must be adequately determined. In the machine learning (ML) approach to estimating the CS of FRSCC, the current research gaps include the limitations of samples in databases, the applicability constraints of models owing to limited mixture components, and the possibility of applying recently proposed models. This study developed different ML models for predicting the CS of FRSCC to address these limitations. Artificial neural network, random forest, and categorical gradient boosting (CatBoost) models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique. A database of 381 samples was created, representing the most significant FRSCC dataset compared with previous studies, and it was used for model development. The findings indicated that CatBoost outperformed the other two models with excellent predictive abilities (root mean square error of 2.639 MPa, mean absolute error of 1.669 MPa, and coefficient of determination of 0.986 for the test dataset). Finally, a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of FRSCC. The results showed that the cement content, testing age, and superplasticizer content are the most critical factors affecting the CS.

Keywords： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

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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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One-against-all-based Hellinger distance decision tree for multiclass imbalanced learning Research Articles

Minggang DONG, Ming LIU, Chao JING,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2,   Pages 278-290 doi: 10.1631/FITEE.2000417

Abstract: To tackle such issues, we propose a new splitting criterion of the decision tree based on the one-against-all-basedFirst, the is integrated into the process of computing the in OAHD, thereby extending the decisiontree to cope with the multiclass imbalance problem.for the properties of OAHD, including skew insensitivity and the ability to seek a purer node in the decisiontree.

Keywords： Decision trees     Multiclass imbalanced learning     Node splitting criterion     Hellinger distance     One-against-all    

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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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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    

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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-tree

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

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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    

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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    

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variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4,   Pages 579-588 doi: 10.1007/s11783-013-0524-1

Abstract: changes in leaf particulate matter (PM) accumulation, surface wettability and micromorphology in urban tree

Keywords： contact angle     particulate matter     retention amount    

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Incorporating target language semantic roles into a string-to-tree translation model Article

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1534-1542 doi: 10.1631/FITEE.1601349

Abstract: The string-to-tree model is one of the most successful syntax-based statistical machine translation (this paper, we propose two methods to use semantic roles to improve the performance of the string-to-treetranslation model: (1) adding role labels in the syntax tree; (2) constructing a semantic role tree,We then perform string-to-tree machine translation using the newly generated trees.Our experiments showed significant improvements over the state-of-the-art string-to-tree translation

Keywords： Machine translation     Semantic role     Syntax tree     String-to-tree    

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Convergence to real-time decision making

James M. TIEN

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 204-222 doi: 10.1007/s42524-019-0040-5

Abstract: Real-time decision making reflects the convergence of several digital technologies, including those concernedMore specifically, real-time decision making can be depicted in terms of three converging dimensions:Internet of Things, decision making, and real-time.Decision making includes model-based analytics (since before 1990), information-based Big Data (sinceCentral to decision making, especially real-time decision making, is the ServGood concept, which the

Keywords： real-time decision making     services     goods     ServGoods     Big Data     Internet of Things     artificial intelligence    

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Title Author Date Type Operation

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

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

The application of decision tree to the estimation for cable staten

Sun Qiuye,Zhang Huaguang,Zhang Tieyan

Journal Article

Four-protein model for predicting prognostic risk of lung cancer

Journal Article

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

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

One-against-all-based Hellinger distance decision tree for multiclass imbalanced learning

Minggang DONG, Ming LIU, Chao JING,jingchao@glut.edu.cn

Journal Article

The strategy on the Tree Paeony ) Oil Industry in China

Li Yucai

Journal Article

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

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

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

variations in leaf capturing of particulate matter, surface wettability and micromorphology in urban tree

Huixia WANG, Hui SHI, Yangyang LI, Ya YU, Jun ZHANG

Journal Article

Incorporating target language semantic roles into a string-to-tree translation model

Chao SU, Yu-hang GUO, He-yan HUANG, Shu-min SHI, Chong FENG

Journal Article

Convergence to real-time decision making

James M. TIEN

Journal Article