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Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 569-575 doi: 10.1007/s11709-021-0735-7

Abstract: ., the urban development is moving toward “pan-dimensionality” and “individual ubiquity”.

Keywords： digital age     urban design     multiple objectives     human-computer interaction     pan-dimensionality     individual-ubiquity    

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Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract:

For optimal results, retrieving a relevant feature from a has become a hot topic for researchers involved in the study of (FS) techniques. The aim of this review is to provide a thorough description of various, recent FS techniques. This review also focuses on the techniques proposed for s to work on multiclass classification problems and on different ways to enhance the performance of learning algorithms. We attempt to understand and resolve the imbalance problem of datasets to substantiate the work of researchers working on s. An analysis of the literature paves the way for comprehending and highlighting the multitude of challenges and issues in finding the optimal feature subset using various FS techniques. A case study is provided to demonstrate the process of implementation, in which three microarray cancer datasets are used to evaluate the classification accuracy and convergence ability of several wrappers and hybrid algorithms to identify the optimal feature subset.

Keywords： Feature selection     High dimensionality     Learning techniques     Microarray dataset    

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The research of detection of outliers based on manifold lear ning

Xu Xuesong,Song Dongming,Zhang Xu,Xu Manwu,Liu Fengyu

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 82-87

Abstract:

The data dimensionality reduction is the main method that can enhanceLocal Linear Embedding algorithm (LLE) is an effective technique for nonlinear dimensionality reductionCompared with other dimensionality reduction algorithms, the advantage of the local Linear EmbeddingEmbedding, the algorithm can select optimal parameter and regulate the distance among data set after data dimensionality

Keywords： manifold learning     detection of outliers     high dimensional data     dimensionality reduction     outliers    

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Fuel optimal control of parallel hybrid electric vehicles

PU Jinhuan, YIN Chenliang, ZHANG Jianwu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 337-342 doi: 10.1007/s11465-008-0057-7

Abstract: To overcome the problem of numerical DP dimensionality, an algorithm to restrict the exploring region

Keywords： mathematical     Comparison     computational complexity     dimensionality     corresponding    

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A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: description and the finite element discretization, and greatly reduces the number of design variables after dimensionality

Keywords： implementation     topology optimization     material-field series-expansion method     bounded material field     dimensionality    

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Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research Article

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Engineering 2021, Volume 7, Issue 12,   Pages 1725-1731 doi: 10.1016/j.eng.2020.05.028

Abstract: Recent technological advancements and developments have led to a dramatic increase in the amount of high-dimensional

Keywords： Multivariate regression methods     Reduced rank regression     Sparsity     Dimensionality reduction     Variable    

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Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 224-238 doi: 10.1007/s11709-022-0812-6

Abstract: The results revealed that all models performed well with a high performance (R2 > 0.980

Keywords： soil consolidation coefficient     machine learning     random forest     Relief    

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Passive millimeter-wave target recognition based on Laplacian eigenmaps

Luo Lei,Li Yuehua,Luan Yinghong

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 77-81

Abstract: experiments show that the method gets higher recognition rate than other linear and kernel-based nonlinear dimensionality

Keywords： manifold learning     Laplacian eigenmaps     nonlinear dimensionality reduction     low dimensional manifold     MMW    

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A new feature selection method for handling redundant information in text classification None

You-wei WANG, Li-zhou FENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 221-234 doi: 10.1631/FITEE.1601761

Abstract: Feature selection is an important approach to dimensionality reduction in the field of text classification

Keywords： Feature selection     Dimensionality reduction     Text classification     Redundant features     Support vector machine    

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Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation None

Yi-xiang HUANG, Xiao LIU, Cheng-liang LIU, Yan-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1352-1361 doi: 10.1631/FITEE.1601512

Abstract: As a dimensionality reduction technique, the DDMA method is used to fuse and reduce the original featuresfeature space and coupling the features to a discriminant kernel to refine the information from the high-dimensionalDDMA method consists of three main steps: (1) signal processing and feature extraction; (2) intrinsic dimensionality

Keywords： Tool condition monitoring     Manifold learning     Dimensionality reduction     Diffusion mapping analysis     Intrinsic    

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Effect of different high viscosity modifiers on rheological properties of high viscosity asphalt

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1390-1399 doi: 10.1007/s11709-021-0775-z

Abstract: High viscosity asphalt (HVA) has been a great success as a drainage pavement material.purpose of this study was to investigate the rheological properties of HVA prepared using different highFrom comprehensive evaluation of the viscosity, temperature stability and sensitivity, as well as high

Keywords： high viscosity asphalt     rheological properties     rubber     modifier     viscosity    

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Continuous deacylation of amides in a high-temperature and high-pressure microreactor

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 12,   Pages 1818-1825 doi: 10.1007/s11705-022-2182-y

Abstract: To intensify this reaction, a high-temperature and high-pressure continuous microreaction technologyBased on the rapid heating and cooling capabilities, the kinetics of acetanilide deacylation at high

Keywords： amide deacylation     microreactor     flow chemistry     reaction intensification    

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METAGENOMICS COMBINED WITH HIGH-THROUGHPUT SEQUENCING REVEALS THE METHANOGENIC POTENTIAL OF FRESH CORNSTRAW UNDER THERMOPHILIC AND HIGH OLR

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 3,   Pages 403-423 doi: 10.15302/J-FASE-2022471

Abstract:

● Methane production from fresh straw was 7.50% higher than dry straw.

Keywords： fresh corn straw     high solid anaerobic digestion     metagenomics     microbial communities     thermophilic    

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Localized high-concentration electrolytes for lithium metal batteries: progress and prospect

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1354-1371 doi: 10.1007/s11705-022-2286-4

Abstract: With the increasing development of digital devices and electric vehicles, high energy-density rechargeableHere, we provide an overview of the recent developments of localized high-concentration electrolytesFirstly, the solvation structures and physicochemical properties of localized high-concentration electrolytesThen, the developments of localized high-concentration electrolytes to suppress the formation of dendriticLastly, the remaining challenges and further possible research directions for localized high-concentration

Keywords： high-concentration electrolyte     localized high-concentration electrolyte     lithium metal battery     solid    

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Approaches to achieve high grain yield and high resource use efficiency in rice

Jianchang YANG

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 2,   Pages 115-123 doi: 10.15302/J-FASE-2015055

Abstract: spikelets and enhancing harvest index are three important approaches to achieving the dual goal of highgrain yield and high resource use efficiency.understand synergistic interaction between water and N on crop and soil and the mechanism underlying highresource use efficiency in high-yielding rice.

Keywords： rice     nitrogen-efficient cultivar     grain fill     harvest index     nitrogen use efficiency     water use efficiency    

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Title Author Date Type Operation

Development trend of urban design in “digital age”: Pan-dimensionality and individual-ubiquity

Journal Article

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Journal Article

The research of detection of outliers based on manifold lear ning

Xu Xuesong,Song Dongming,Zhang Xu,Xu Manwu,Liu Fengyu

Journal Article

Fuel optimal control of parallel hybrid electric vehicles

PU Jinhuan, YIN Chenliang, ZHANG Jianwu

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

Journal Article

Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Journal Article

Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Journal Article

Passive millimeter-wave target recognition based on Laplacian eigenmaps

Luo Lei,Li Yuehua,Luan Yinghong

Journal Article

A new feature selection method for handling redundant information in text classification

You-wei WANG, Li-zhou FENG

Journal Article

Intrinsic feature extraction using discriminant diffusion mapping analysis for automated tool wear evaluation

Yi-xiang HUANG, Xiao LIU, Cheng-liang LIU, Yan-ming LI

Journal Article

Effect of different high viscosity modifiers on rheological properties of high viscosity asphalt

Journal Article

Continuous deacylation of amides in a high-temperature and high-pressure microreactor

Journal Article

METAGENOMICS COMBINED WITH HIGH-THROUGHPUT SEQUENCING REVEALS THE METHANOGENIC POTENTIAL OF FRESH CORNSTRAW UNDER THERMOPHILIC AND HIGH OLR

Journal Article

Localized high-concentration electrolytes for lithium metal batteries: progress and prospect

Journal Article

Approaches to achieve high grain yield and high resource use efficiency in rice

Jianchang YANG

Journal Article