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Asystematic review of structured sparse learning Review

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 445-463 doi: 10.1631/FITEE.1601489

Abstract: Structured sparse learning encodes the structural information of the variables and has been quite successfulWith various types of structures discovered, sorts of structured regularizations have been proposed.In this article, we present a systematic review of structured sparse learning including ideas, formulationsimplementations, and compare the computational complexity of typical optimization methods to solve structuredIn experiments, we present applications in unsupervised learning, for structured signal recovery and

Keywords： Sparse learning     Structured sparse learning     Structured regularization    

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A regularization scheme for explicit level-set XFEM topology optimization

Markus J. GEISS, Jorge L. BARRERA, Narasimha BODDETI, Kurt MAUTE

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 153-170 doi: 10.1007/s11465-019-0533-2

Abstract: Regularization of the level-set (LS) field is a critical part of LS-based topology optimization (TO)This paper introduces a novel LS regularization approach based on a signed distance field (SDF) which

Keywords： level-set regularization     explicit level-sets     XFEM     CutFEM     topology optimization     heat method     signed distance    

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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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Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1033-1049 doi: 10.1007/s11705-020-2002-1

Abstract: proposed performance, ingredients, structure, and manufacturing process framework for the design of structured

Keywords： product design     performance     ingredients     structure     manufacturing process framework     structured chemical    

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Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 5,   Pages 897-904 doi: 10.1007/s11783-015-0782-1

Abstract: The dendritic nano-structured Cu catalysts obtained at high applied voltages exhibited an excellent efficiencyThe fabricated nano-structured Cu catalysts also exhibited good stability.This work provides a facile way to prepare highly efficient, cost-effective, and stable nano-structured

Keywords： nitrobenzene     nano-structured Cu     electro-reduction     voltage-dependent electrodeposition     high selectivity    

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Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 9, doi: 10.1007/s11783-023-1711-3

Abstract:

● Properties and performance relationship of CSBT photocatalyst were investigated.

Keywords： Black TiO2     Core-shell structure     Property-performance relationship     Agro-industrial effluent     Environmental remediation    

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Erratum to: Efficient keyword search over graph-structured data based on minimal covered Erratum

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.18e0133

Abstract: Unfortunately the second author’s name has been misspelt. It should be read: Abbas NIKNAFS.
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Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 137-142 doi: 10.1007/s11708-018-0532-8

Abstract: cross-plane thermal conductivity reduction in the Si/Ge superlattices is studied by designing cone-structuredCompared with the even interface, the cone-structured interface contributes remarkable resistance toreduction of the average thermal conductivity to the other Si/Ge superlattices with even, convergent cone-structuredThe design of divergent cone-structured interface sheds promising light on enhancing the thermoelectric

Keywords： thermoelectric material     thermal transport     Si/Gesuperlattics     molecular dynamics (MD)    

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Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 75-82 doi: 10.1007/s11708-010-0014-0

Abstract: Experiments were conducted to study the effects of enhanced surfaces on heat transfer performance during water spray cooling in non-boiling regime. The surface enhancement is straight fin. The structures were machined on the top surface of heated copper blocks with a cross-sectional area of 10 mm×10 mm. The spray was performed using Unijet full cone nozzles with a volumetric flux of 0.044–0.053 m /(m ·s) and a nozzle height of 17 mm. It is found that the heat transfer is obviously enhanced for straight fin surfaces relative to the flat surface. However, the increment decreases as the fin height increases. For flat surface and enhanced surfaces with a fin height of 0.1 mm and 0.2 mm, as the coolant flux increases, the heat flux increases as well. However, for finned surface with a height of 0.4 mm, the heat flux is not sensitive to the coolant volumetric flux. Changed film thickness and the form of water/surface interaction due to an enhanced surface structure (different fin height) are the main reasons for changing of the local heat transfer coefficient.

Keywords： spray cooling     finned surface     heat transfer    

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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 deep

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

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Non-convex sparse optimization-based impact force identification with limited vibration measurements

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0762-2

Abstract: MJX-TeXAtom-ORD">ℓ2 regularizationMJX-TeXAtom-ORD">ℓ2 regularizationℓ1 sparse regularizationTo alleviate such limitations, a novel non-convex sparse regularization method that uses the non-convexResults indicate that compared with other existing regularization methods, the

Keywords： impact force identification     inverse problem     sparse regularization     under-determined condition     alternating    

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Preparation and properties of nano SiO2 core-shell structured additives and their nanocomposite with

KE Yangchuan, SUN Mingzhuo, SONG Yanxin, YANG GuangFu

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 1,   Pages 76-80 doi: 10.1007/s11705-007-0016-6

Abstract: To improve the performance of traditional nucleation additives and their compatibility with other additives, as well as to solve complex problems in practical applications, SiO precursors were reactively grafted in situ with the symmetrical hydroxyl groups of the nucleation agents. With this approach, the dissymmetrical part of the nucleation agents plays an important role. As a result, the prepared composite additive the nanoparticle precursor (NPP0) produces excellent results. The NPP0-PP composite has a transparency of over 93%, haze lower than 15%, and a heat distortion temperature (HDT) of 142?C, which is more than the 110?C of the pure PP matrix. In addition, it maintains over 90% of the mechanical properties with a deformation coefficient less than 1%. This indicates a strong nanoeffect.

Keywords： deformation coefficient     distortion temperature     excellent     NPP0-PP     traditional nucleation    

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Adaptive simulation of wave propagation problems including dislocation sources and random media

Hassan YOUSEFI, Jamshid FARJOODI, Iradj MAHMOUDZADEH KANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1054-1081 doi: 10.1007/s11709-019-0536-4

Abstract: An adaptive Tikhonov regularization is integrated with an h-adaptive grid-based scheme for simulationdeveloping of non-dissipative spurious oscillations, numerical stability is guaranteed by the Tikhonov regularizationTo preserve waves of small magnitudes, an adaptive regularization is utilized: using of smaller amount

Keywords： wavelet     adaptive smoothing     discontinuous solutions     stochastic media     spurious oscillations     Tikhonov regularization    

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ceramic-carbonate nanocomposite fuel cells using composite GDC/NLC electrolyte with different perovskite structured

Muhammad I. Asghar, Sakari Lepikko, Janne Patakangas, Janne Halme, Peter D. Lund

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 1,   Pages 162-173 doi: 10.1007/s11705-017-1642-2

Abstract: A comparative analysis of perovskite structured cathode materials, La Sr MnO (LSM), La Sr CoO (LSC)

Keywords： electrode     fuel cell     low-temperature     nanocomposite     perovskite    

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Magnetic Co-doped 1D/2D structured -FeO/MoS effectively activated peroxymonosulfate for efficient abatement

Frontiers of Environmental Science & Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11783-024-1797-2

Abstract:

● Magnetic Co- γ -Fe2O3/MoS2 were prepared via facile hydrothermal methods.

Keywords： Magnetic Co-γ-Fe2O3/MoS2     Hydrothermal method     Bisphenol A     Degradation pathways     Toxicity analysis    

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Title Author Date Type Operation

Asystematic review of structured sparse learning

Lin-bo QIAO, Bo-feng ZHANG, Jin-shu SU, Xi-cheng LU

Journal Article

A regularization scheme for explicit level-set XFEM topology optimization

Markus J. GEISS, Jorge L. BARRERA, Narasimha BODDETI, Kurt MAUTE

Journal Article

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

Journal Article

Computational design of structured chemical products

Faheem Mushtaq, Xiang Zhang, Ka Y. Fung, Ka M. Ng

Journal Article

Efficient and selective electro-reduction of nitrobenzene by the nano-structured Cu catalyst prepared

Yali CHEN,Lu XIONG,Weikang WANG,Xing ZHANG,Hanqing YU

Journal Article

Property-performance relationship of core-shell structured black TiO photocatalyst for environmental

Journal Article

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Journal Article

Impacts of cone-structured interface and aperiodicity on nanoscale thermal transport in Si/Ge superlattices

Pengfei JI, Yiming RONG, Yuwen ZHANG, Yong TANG

Journal Article

Experimental study of the effects of structured surface geometry on water spray cooling performance in

Minghou LIU, Yaqing WANG, Dong LIU, Kan XU, Yiliang CHEN

Journal Article

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

Journal Article

Non-convex sparse optimization-based impact force identification with limited vibration measurements

Journal Article

Preparation and properties of nano SiO2 core-shell structured additives and their nanocomposite with

KE Yangchuan, SUN Mingzhuo, SONG Yanxin, YANG GuangFu

Journal Article

Adaptive simulation of wave propagation problems including dislocation sources and random media

Hassan YOUSEFI, Jamshid FARJOODI, Iradj MAHMOUDZADEH KANI

Journal Article

ceramic-carbonate nanocomposite fuel cells using composite GDC/NLC electrolyte with different perovskite structured

Muhammad I. Asghar, Sakari Lepikko, Janne Patakangas, Janne Halme, Peter D. Lund

Journal Article

Magnetic Co-doped 1D/2D structured -FeO/MoS effectively activated peroxymonosulfate for efficient abatement

Journal Article