Resource Type

Journal Article 80

Year

2023 7

2022 9

2021 8

2020 8

2019 5

2018 4

2017 7

2016 3

2015 4

2013 2

2012 3

2011 2

2010 3

2009 3

2008 2

2007 1

2006 2

2005 1

2003 2

2000 1

open ︾

Keywords

Ensemble learning 4

Copyright protection 2

index decomposition analysis 2

Active learning 1

Air traffic management 1

Asymmetric massive multiple-input multiple-output (MIMO) system 1

Audio watermarking 1

Bayesian model averaging 1

Benders decomposition 1

Bent function 1

Bi-directional gated recurrent unit (BiGRU) 1

Boolean control networks 1

CECE method 1

CFB boiler 1

CO coupling 1

CO2 decomposition 1

CO2 emission 1

CO2 emissions 1

Cantonese porcelain 1

open ︾

Search scope:

排序: Display mode:

Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1574-z

Abstract:

● Diurnal patterns of CH4 and CO2 are clearly extracted using EEMD.

Keywords: Methane     Carbon dioxide     Diurnal pattern     Ensemble empirical mode decomposition     South China Sea     Sea    

Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone

Keywords: metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: technique was used to simulate these stochastic components with normal distribution, and thus a new ensemble

Keywords: Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12,   Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: DO hybrid forecasting model is proposed that includes three stages: multi-factor analysis, adaptive decomposition, and an optimization-based ensemble.Then, five benchmark models are utilized to forecast the sub-series of EWT decomposition.The ensemble weights of these five sub-forecasting models are calculated by particle swarm optimizationFinally, a multi-factor ensemble model for DO is obtained by weighted allocation.

Keywords: concentrations forecasting     Time-series multi-step forecasting     Multi-factor analysis     Empirical wavelet transform decomposition     Multi-model optimization ensemble    

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (

Keywords: laser beam welding     parameter optimization     metamodel     multi-objective    

Decomposition analysis applied to energy and emissions: A literature review

Frontiers of Engineering Management   Pages 625-639 doi: 10.1007/s42524-023-0270-4

Abstract: Decomposition analysis has been widely used to assess the determinants of energy and CO2 emissionsBoth the methodology and application of decomposition analysis have been largely improved in the pastAfter more than 50 years’ developments, decomposition studies have become increasingly sophisticatedemerging trends and features for the decomposition analysis literature as a whole.The findings are expected to direct future research in decomposition analysis.

Keywords: index decomposition analysis     structural decomposition analysis     production decomposition analysis     energy    

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 564-575 doi: 10.1007/s11709-022-0829-x

Abstract: This paper introduces the idea of ensemble deep learning.At the same time, the fully-connected network is applied as the meta-learner, and stacking ensemble learning

Keywords: water conveyance tunnels     siltation images     remotely operated vehicles     deep learning     ensemble learning    

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 281-288 doi: 10.1007/s11783-009-0032-5

Abstract: sol immobilization method and were used to investigate their catalytic activity for low-level ozone decompositionX-ray photoelectron spectroscopy (XPS) were used to characterize the catalysts before and after ozone decompositionthose prepared with traditional conduction heating, exhibiting higher catalytic activity for ozone decompositiongold precursor solution significantly influenced the catalytic activity of supported gold for ozone decompositionAfter being used for ozone decomposition, the surface carbon of the catalyst was partly oxidized and

Keywords: ozone decomposition     activated carbon     gold nanoparticles     catalysis     sodium citrate     microwave    

A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1418-1444 doi: 10.1007/s11709-020-0664-x

Abstract: We investigate the performance of a novel vertical slot fishway by employing finite volume and surrogate models. Multiple linear regression, multiple log equation regression, gene expression programming, and combinations of these models are employed to predict the maximum turbulence, maximum velocity, resting area, and water depth of the middle pool in the fishway. The statistical parameters and error terms, including the coefficient of determination, root mean square error, normalized square error, maximum positive and negative errors, and mean absolute percentage error were employed to evaluate and compare the accuracy of the models. We also conducted a parametric study. The independent variables include the opening between baffles ( ), the ratio of the length of the large and small baffles, the volume flow rate, and the angle of the large baffle. The results show that the key parameters of the maximum turbulence and velocity are the volume flow rate and .

Keywords: novel vertical slot fishway     parametric study     finite volume method     ensemble model     gene expression programming    

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 466-478 doi: 10.15302/J-FEM-2018059

Abstract:

Optimization of large-scale supply chain planning models requires the application of decompositionTwo major options are to use either spatial or temporal Lagrangean decomposition.In this paper, to further reduce the computational expense a novel decomposition scheme by products isThe decomposition is based on a reformulation of knapsack constraints in the problem.The new approach allows for simultaneous decomposition by products and by time periods, enabling the

Keywords: supply chain planning     Lagrangean decomposition     mixed-integer programming    

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1082-1094 doi: 10.1007/s11709-019-0537-3

Abstract: An out-put only modal parameter identification method based on variational mode decomposition (VMD) isThe results of the present method are compared with those of the empirical mode decomposition-based method

Keywords: modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely    

Mechanism of methanol decomposition on the Pd/WC(0001) surface unveiled by first-principles calculations

Jinhua Zhang, Yuanbin She

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 6,   Pages 1052-1064 doi: 10.1007/s11705-019-1908-y

Abstract: In this study, the decomposition of methanol into the CO and H species on the Pd/tungsten carbide (WCThe DFT calculations indicate that the rupture of the initial C–H bond promotes the decomposition ofThus, the most probable methanol decomposition pathway on the Pd/WC(0001) surface is CH OH → CH OH →study demonstrates that the synergistic effect of WC (as carrier) and Pd (as catalyst) alters the CH OH decomposition

Keywords: density functional theory     methanol     direct methanol fuel cells     WC(0001)-supported Pd monolayer     decomposition    

Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 858-870 doi: 10.1007/s11709-022-0831-3

Abstract: Additionally, the ensemble unit (EnU) may be utilized to evaluate rock strain.

Keywords: prediction     strain     ensemble unit     rank analysis     error matrix    

Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 687-697 doi: 10.1007/s11705-020-1974-1

Abstract: coaxial cylinder dielectric barrier discharge micro-plasma reactors were designed for the non-catalytic decompositionresults indicated that the introduction of segmented outer electrodes can significantly promote the decomposition

Keywords: CO2 decomposition     dielectric barrier discharge     segmented outer electrodes     electrical analysis    

Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 2,   Pages 210-217 doi: 10.1007/s11705-013-1320-y

Abstract: The decomposition mechanism of ammonium sulfate catalyzed by ferric oxide was investigated in this paperThe decomposition kinetics parameters were determined via a global optimization of the Kissinger iterativeThe obtained results indicate that the decomposition process of ammonium sulfate catalyzed by ferricThe decomposition mechanisms at the first and the fourth stage both belong to Mample power theorem, the

Keywords: ammonium sulfate     decomposition kinetics     ferric oxide     thermogravimetric analysis    

Title Author Date Type Operation

Variation characteristics of atmospheric methane and carbon dioxide in summertime at a coastal site in the South China Sea

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station, Heihe River Basin, China

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Decomposition analysis applied to energy and emissions: A literature review

Journal Article

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Journal Article

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

Journal Article

A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Journal Article

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

Journal Article

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

Journal Article

Mechanism of methanol decomposition on the Pd/WC(0001) surface unveiled by first-principles calculations

Jinhua Zhang, Yuanbin She

Journal Article

Ensemble unit and AI techniques for prediction of rock strain

Pradeep T; Pijush SAMUI; Navid KARDANI; Panagiotis G ASTERIS

Journal Article

Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

Journal Article

Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

Journal Article