Resource Type

Journal Article 54

Year

2023 1

2022 4

2021 4

2020 5

2019 4

2018 5

2017 2

2016 1

2015 8

2013 1

2012 1

2011 3

2009 3

2007 2

2006 1

2005 2

2004 1

2003 1

open ︾

Keywords

gradient boosting 3

temperature gradient 3

denaturing gradient gel electrophoresis (DGGE) 2

gradient method 2

random forest 2

Adaptive beamforming 1

Adaptive boosting 1

Adsorptive desulfurization 1

Ammonia Oxidizing Bacteria (AOB) 1

Anaerobic mixed-flow mode 1

Anaerobic plug-flow feeding mode 1

Bag-of-words 1

Bandwith allocation 1

CLA-ethyl ester 1

CS-based image fusion 1

Channel state information 1

Cognitive radio networks 1

Color-to-gray conversion 1

Compressive sensing (CS) 1

open ︾

Search scope:

排序： Display mode:

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Frontiers of Structural and Civil Engineering   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: Gradient Boosting (GB) technique was developed and evaluated in combination with three different optimization

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

HTML PDF Collect
Share

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Frontiers of Structural and Civil Engineering   Pages 928-945 doi: 10.1007/s11709-022-0837-x

Abstract: successfully predicted from mix design and curing age by a machine learning (ML) technique named the Extreme GradientBoosting (XGB) algorithm, including non-hybrid and hybrid models.K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees (DTR), Random Forest (RF), GradientBoosting (GB), and Artificial Neural Network using two training algorithms LBFGS and SGD (denoted as

Keywords： strength     self-compacting concrete     machine learning techniques     particle swarm optimization     extreme gradientboosting    

HTML PDF Collect
Share

SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 185-198 doi: 10.1007/s11709-019-0591-x

Abstract: of simple and multiple linear regression models, three machine learning algorithms, random forest, gradientboosting and stacked models, are developed for prediction of undrained shear strength.

Keywords： undrained shear strength     linear regression     random forest     gradient boosting     machine learning     standard    

HTML PDF Collect
Share

Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 187-197 doi: 10.1007/s11465-015-0339-9

Abstract:

In this paper, for the first time, the modified strain gradient theory is used as a new size-dependentAfter obtaining the governing equations based on modified strain gradient theory via principle of minimum

Keywords： graphene     van der Waals (vdW) force     modi- fied strain gradient elasticity theory     size effect parameter    

HTML PDF Collect
Share

Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1520-1530 doi: 10.1007/s11709-020-0672-x

Abstract: undertake two models to capture the nanostructure nonlocal size effects: the strain and the velocity gradientThe structural nonlinear behavior of the system assuming both strain and velocity gradient theories is

Keywords： velocity gradient elasticity theory     nanotube resonators     differential-quadrature method     nonlinear vibration    

HTML PDF Collect
Share

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: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveSimulation results demonstrate that the gradient-based scheme has the best performance, in terms of bothFurthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

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

HTML PDF Collect
Share

Floret-like Fe–N nanoparticle-embedded porous carbon superstructures from a Fe-covalent triazine polymer boosting

Frontiers of Chemical Science and Engineering doi: 10.1007/s11705-022-2232-5

Abstract: Fe–Nx nanoparticles-embedded porous carbons with a desirable superstructure have attracted immense attention as promising catalysts for electrochemical oxygen reduction reaction. Herein, we employed Fe-coordinated covalent triazine polymer for the fabrication of Fe–Nx nanoparticle-embedded porous carbon nanoflorets (Fe/N@CNFs) employing a hypersaline-confinement-conversion strategy. Presence of tailored N types within the covalent triazine polymer interwork in high proportions contributes to the generation of Fe/N coordination and subsequent Fe–Nx nanoparticles. Owing to the utilization of NaCl crystals, the resultant Fe/N@CNF-800 which was generated by pyrolysis at 800 °C showed nanoflower structure and large specific surface area, which remarkably suppressed the agglomeration of high catalytic active sites. As expect, the Fe/N@CNF-800 exhibited unexpected oxygen reduction reaction catalytic performance with an ultrahigh half-wave potential (0.89 V vs. reversible hydrogen electrode), a dominant 4e– transfer approach and great cycle stability (> 92% after 100000 s). As a demonstration, the Fe/N-PCNF-800-assembled zinc–air battery delivered a high open circuit voltage of 1.51 V, a maximum peak power density of 164 mW·cm–2, as well as eminent rate performance, surpassing those of commercial Pt/C. This contribution offers a valuable avenue to exploit efficient metal nanoparticles-based carbon catalysts towards energy-related electrocatalytic reactions and beyond.

Keywords： Fe–Nx nanoparticles     hypersaline-confinement conversion     floret-like carbon     covalent triazine polymers     oxygen reduction reaction    

HTML PDF Collect
Share

Application of machine learning technique for predicting and evaluating chloride ingress in concrete

Frontiers of Structural and Civil Engineering   Pages 1153-1169 doi: 10.1007/s11709-022-0830-4

Abstract: This research aims at predicting the chloride content in concrete using three hybrid models of gradientboosting (GB), artificial neural network (ANN), and random forest (RF) in combination with particle

Keywords： gradient boosting     random forest     chloride content     concrete     sensitivity analysis.    

HTML PDF Collect
Share

Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and

Peiwen Liu, Carsten Mai, Kai Zhang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 3,   Pages 383-389 doi: 10.1007/s11705-018-1718-7

Abstract: In addition, a method for in situ preparation of gradient hydrogels is still lacking.Herein, we report the formation of hydrogels with either uniform or gradient internal structures viaAs-prepared hydrogels exhibited uniform microscopic and chemical structure or gradient distribution ofMoreover, this controllable process of aerating NH3 gas allows the in situ formation of gradienthydrogels; for instance, by using cyanamide as a reaction counterpart, gradient hydrogels with gradient

Keywords： hydrogel     uniform     gradient     dialdehyde cellulose     ammonia gas     diamine    

HTML PDF Collect
Share

A three-dimensional two-level gradient smoothing meshfree method for rainfall induced landslide simulations

Dongdong WANG, Jiarui WANG, Junchao WU, Junjun DENG, Ming SUN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 337-352 doi: 10.1007/s11709-018-0467-5

Abstract: A three-dimensional two-level gradient smoothing meshfree method is presented for rainfall induced landslideIt is shown that due to the successive gradient smoothing operation without the requirement of derivativecomputation in the present formulation, the two-level smoothed gradient of meshfree shape function iscapable of achieving a given influence domain more efficiently than the standard gradient of meshfreeSubsequently, the two-level smoothed gradient of meshfree shape function is employed to discretize the

Keywords： meshfree method     landslide     rainfall     three-dimensional two-level gradient smoothing     nodal integration    

HTML PDF Collect
Share

Periodically varied initial offset boosting behaviors in a memristive system with cosine memductance Regular Papers

Mo CHEN, Xue REN, Hua-gan WU, Quan XU, Bo-cheng BAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1706-1716 doi: 10.1631/FITEE.1900360

Abstract: Nonlinear and one-dimensional initial offset boosting behaviors, which are triggered by not only theof coexisting attractors with different positions and topological structures are revealed along the boosting

Keywords： Initial offset boosting     Memristive system     Memductance     Line equilibrium set    

HTML PDF Collect
Share

Effects of gradient concentration on the microstructure and electrochemical performance of LiNi

Wenming Li, Weijian Tang, Maoqin Qiu, Qiuge Zhang, Muhammad Irfan, Zeheng Yang, Weixin Zhang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 988-996 doi: 10.1007/s11705-020-1918-9

Abstract: The design of gradient concentration (GC) particles with Ni-rich inside and Mn-rich outside is provedrationally-designed co-precipitation process for fabricating the Ni-rich layered cathode materials with gradient

Keywords： gradient concentration     Ni-rich     LiNi0.6Co0.2-Mn0.2O2     electrochemical    

HTML PDF Collect
Share

The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 201-211 doi: 10.15302/J-FEM-2017018

Abstract: This study explores the influence of social media on stock volatility and builds a feature model with an intelligence algorithm using social media data from Xueqiu.com in China, Sina Finance and Economics, Sina Microblog, and Oriental Fortune. We find that the effect of social factors, such as increased attention to a stock’s volatility, is more significant than public sentiment. A prediction model is introduced based on social factors and public sentiment to predict stock volatility. Our findings indicate that the influence of social media data on the next day’s volatility is more significant but declines over time.

Keywords： stock volatility     social data     sentiment analysis     boosting algorithm    

HTML PDF Collect
Share

Experimental investigation on possibility of oxygen enrichment by using gradient magnetic fields

CAI Jun, WANG Li, TONG Lige, SUN Shufeng, WU Ping

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 271-276 doi: 10.1007/s11705-007-0049-x

Abstract: This paper presents a novel method that uses the interception effect of gradient magnetic field on oxygenmagnetic poles of two magnets at a certain distance forms a magnetic space having a field intensity gradientmagnetic space via its borders, oxygen molecules in the air will experience the interception effect of the gradientrespectively, and the gas temperature is 298 K and the maximal product of magnetic flux density and its gradientenrichment degree drops to 0.32%; and when the maximal product of magnetic flux density and field intensity gradient
HTML PDF Collect
Share

Salinity Gradient Energy: Current State and New Trends

Olivier Schaetzle, Cees J. N. Buisman

Engineering 2015, Volume 1, Issue 2,   Pages 164-166 doi: 10.15302/J-ENG-2015046

Abstract:

In this article we give an overview of the state of the art of salinity gradient technologies.We first introduce the concept of salinity gradient energy, before describing the current state of developmentWe conclude with the new trends in the young field of salinity gradient technologies.

Keywords： salinity gradient energy     pressure-retarded osmosis     reverses electrodialysis    

HTML PDF Collect
Share

Title Author Date Type Operation

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Journal Article

Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

Journal Article

SPT based determination of undrained shear strength: Regression models and machine learning

Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU

Journal Article

Vibration analysis of nano-structure multilayered graphene sheets using modified strain gradient theory

Amir ALLAHBAKHSHI,Masih ALLAHBAKHSHI

Journal Article

Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Floret-like Fe–N nanoparticle-embedded porous carbon superstructures from a Fe-covalent triazine polymer boosting

Journal Article

Application of machine learning technique for predicting and evaluating chloride ingress in concrete

Journal Article

Preparation of hydrogels with uniform and gradient chemical structures using dialdehyde cellulose and

Peiwen Liu, Carsten Mai, Kai Zhang

Journal Article

A three-dimensional two-level gradient smoothing meshfree method for rainfall induced landslide simulations

Dongdong WANG, Jiarui WANG, Junchao WU, Junjun DENG, Ming SUN

Journal Article

Periodically varied initial offset boosting behaviors in a memristive system with cosine memductance

Mo CHEN, Xue REN, Hua-gan WU, Quan XU, Bo-cheng BAO

Journal Article

Effects of gradient concentration on the microstructure and electrochemical performance of LiNi

Wenming Li, Weijian Tang, Maoqin Qiu, Qiuge Zhang, Muhammad Irfan, Zeheng Yang, Weixin Zhang

Journal Article

The influence of social media on stock volatility

Xianjiao WU, Xiaolin WANG, Shudong MA, Qiang YE

Journal Article

Experimental investigation on possibility of oxygen enrichment by using gradient magnetic fields

CAI Jun, WANG Li, TONG Lige, SUN Shufeng, WU Ping

Journal Article

Salinity Gradient Energy: Current State and New Trends

Olivier Schaetzle, Cees J. N. Buisman

Journal Article