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Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 152-165 doi: 10.1631/FITEE.1400139

Abstract: panoramic images efficiently, the concept of compressed sensing is introduced into the solution and an adaptivecompressive feature is presented.tests show that our enhanced VO is much more accurate and robust than the traditional VO, thanks to the compressive

Keywords: Visual odometry     Panoramic landmark     Landmark matching     Compressed sensing     Adaptive compressive feature    

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariateadaptive regression spline

Ali Reza GHANIZADEH, Morteza RAHROVAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 787-799 doi: 10.1007/s11709-019-0516-8

Abstract: For design and quality control of the final product in FDR method, the unconfined compressive strengthThis paper aims to develop a mathematical model for predicting the unconfined compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariate adaptive regression spline

Keywords: full-depth reclamation     soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariate adaptive regression spline    

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainabilityThis study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionarycolony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressiveANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96

Keywords: foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensingFurthermore, the idea of block compressive sensing (BCS) is combined with the SAMP technique to improve

Keywords: Block compressive sensing     Sparsity adaptive matching pursuit     Greedy algorithm     Wilkinson matrix    

The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 191-201 doi: 10.1007/s11709-021-0792-y

Abstract: morphology and thickness is elucidated by backscattered electron images and by consequences to the compressive

Keywords: cement fineness     interfacial transition zone     compressive and flexural strength    

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 83-92

Abstract: product transform of dynamic signals and basis functions, proposed several construction methods of adaptive

Keywords: mechanical fault diagnosis     principle of inner product transform     adaptive basis function     multiwaveletdenoising     fault feature extraction    

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: algorithms for four stress stages are established to describe the bearing behaviors of the joint under a compressiveanalytical algorithms, a parametric investigation is conducted to discuss the factors affecting the ultimate compressive

Keywords: shield tunnel     segment joint     joint structural model     failure mechanism    

Optimizing the compressive strength of concrete containing micro-silica, nano-silica, and polypropylene

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 821-830 doi: 10.1007/s11709-019-0518-6

Abstract: , micro-silica (MS) and polymer fibers on optimizing the mechanical properties of concrete, such as compressiveResults indicated the sensitivity of each CSCs can be different on the NS or MS in compressive strengthWhile, polymer fibers don’t have significant effect in compressive strength considering CSCs.

Keywords: mixture method     compressive strength     nano-silica     micro-silica     polypropylene fibers    

Adaptive compression method for underwater images based on perceived quality estimation Regular Papers

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 716-730 doi: 10.1631/FITEE.1700737

Abstract: estimates the perceived quality of underwater image compression based on embedded coding compression and compressive

Keywords: Underwater image compression     Set partitioning in hierarchical trees     Compressive sensing     Compression quality    

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords: imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1025-1037 doi: 10.1007/s11709-021-0741-9

Abstract: The understanding of compressive and tensile behaviors of polypropylene fiber-reinforced cemented pasteHowever, very limited studies have been performed to gain insight into the evolution of compressive andAdditionally, a predictive model is developed to capture the strong correlation between compressive and

Keywords: cemented paste backfill     fiber reinforcement     constitutive behavior     temperature     tailings    

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve featureadaptive knowledge transferring.

Keywords: gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: This study aims to improve the unconfined compressive strength of soils using additives as well as byTo predict the results of unconfined compressive strength tests conducted on soils, a comprehensive laboratoryThe suggested models predicted the unconfined compressive strength of soils accurately and can be introducedresults, it is discovered that cement and lime contents impose more prominent effects on the unconfined compressive

Keywords: unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

Experimental study on the compressive performance of new sandwich masonry walls

Jianzhuang XIAO, Jie PU, Yongzhong HU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 154-163 doi: 10.1007/s11709-013-0203-0

Abstract: patterns, experimental studies should be performed to investigate the mechanical behavior, especially the compressive

Keywords: sandwich wall     insulation wall     connection     compressive performance     compression test    

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE) sampling for compressiveFirst, source images are compressed by compressive sensing, to facilitate the transmission of the sensorBy compositing the gradient of each image, gradient-based weights are obtained, with which compressive

Keywords: Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

Title Author Date Type Operation

Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Journal Article

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariateadaptive regression spline

Ali Reza GHANIZADEH, Morteza RAHROVAN

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Journal Article

The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Journal Article

Adaptive construction of multiwavelet basis function and its applications for mechanical fault diagnosis

He Zhengjia,Sun Hailiang,Zi Yanyang

Journal Article

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

Journal Article

Optimizing the compressive strength of concrete containing micro-silica, nano-silica, and polypropylene

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article

Adaptive compression method for underwater images based on perceived quality estimation

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

Experimental study on the compressive performance of new sandwich masonry walls

Jianzhuang XIAO, Jie PU, Yongzhong HU

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article