Institution
Xihua University
Education•Chengdu, China•
About: Xihua University is a education organization based out in Chengdu, China. It is known for research contribution in the topics: Fuzzy logic & Artificial neural network. The organization has 5368 authors who have published 4155 publications receiving 31001 citations.
Topics: Fuzzy logic, Artificial neural network, Control theory, Support vector machine, Fault (power engineering)
Papers published on a yearly basis
Papers
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TL;DR: A novel maximum neighborhood margin discriminant projection technique for dimensionality reduction of high-dimensional data that cannot only detect the true intrinsic manifold structure of the data but also strengthen the pattern discrimination among different classes.
Abstract: We develop a novel maximum neighborhood margin discriminant projection (MNMDP) technique for dimensionality reduction of high-dimensional data. It utilizes both the local information and class information to model the intraclass and interclass neighborhood scatters. By maximizing the margin between intraclass and interclass neighborhoods of all points, MNMDP cannot only detect the true intrinsic manifold structure of the data but also strengthen the pattern discrimination among different classes. To verify the classification performance of the proposed MNMDP, it is applied to the PolyU HRF and FKP databases, the AR face database, and the UCI Musk database, in comparison with the competing methods such as PCA and LDA. The experimental results demonstrate the effectiveness of our MNMDP in pattern classification.
771 citations
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TL;DR: The authors report on the addition of silver-Lignin nanoparticles as a dynamic catechol redox system to maintaincatechol/quinone balance, making a reusable, antibacterial bioadhesive.
Abstract: Adhesive hydrogels have gained popularity in biomedical applications, however, traditional adhesive hydrogels often exhibit short-term adhesiveness, poor mechanical properties and lack of antibacterial ability. Here, a plant-inspired adhesive hydrogel has been developed based on Ag-Lignin nanoparticles (NPs)triggered dynamic redox catechol chemistry. Ag-Lignin NPs construct the dynamic catechol redox system, which creates long-lasting reductive-oxidative environment inner hydrogel networks. This redox system, generating catechol groups continuously, endows the hydrogel with long-term and repeatable adhesiveness. Furthermore, Ag-Lignin NPs generate free radicals and trigger self-gelation of the hydrogel under ambient environment. This hydrogel presents high toughness for the existence of covalent and non-covalent interaction in the hydrogel networks. The hydrogel also possesses good cell affinity and high antibacterial activity due to the catechol groups and bactericidal ability of Ag-Lignin NPs. This study proposes a strategy to design tough and adhesive hydrogels based on dynamic plant catechol chemistry.
573 citations
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TL;DR: Graphene and graphene oxide have attracted tremendous interest over the past decade due to their unique and excellent electronic, optical, mechanical, and chemical properties as discussed by the authors, and a review focusing on the functional modification of GAs is presented in this paper.
Abstract: Graphene and graphene oxide have attracted tremendous interest over the past decade due to their unique and excellent electronic, optical, mechanical, and chemical properties. This review focuses on the functional modification of graphene and graphene oxide. First, the basic structure, preparation methods and properties of graphene and graphene oxide are briefly described. Subsequently, the methods for the reduction of graphene oxide are introduced. Next, the functionalization of graphene and graphene oxide is mainly divided into covalent binding modification, non-covalent binding modification and elemental doping. Then, the properties and application prospects of the modified products are summarized. Finally, the current challenges and future research directions are presented in terms of surface functional modification for graphene and graphene oxide.
503 citations
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TL;DR: By adding aluminium (Al) into lead selenide (PbSe), the authors successfully prepared n-type PbSe thermoelectric materials with a figure-of-merit (ZT) of 1.3 at 850 K.
Abstract: By adding aluminium (Al) into lead selenide (PbSe), we successfully prepared n-type PbSe thermoelectric materials with a figure-of-merit (ZT) of 1.3 at 850 K. Such a high ZT is achieved by a combination of high Seebeck coefficient caused by very possibly the resonant states in the conduction band created by Al dopant and low thermal conductivity from nanosized phonon scattering centers.
345 citations
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TL;DR: In this paper, a stochastic energy management of a smart home with PEV (plug-in electric vehicle) energy storage and photovoltaic (PV) array is investigated.
289 citations
Authors
Showing all 5396 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Hua Zhang | 163 | 1503 | 116769 |
Bo Wang | 119 | 2905 | 84863 |
Tao Li | 102 | 2483 | 60947 |
Chao Wang | 91 | 561 | 32854 |
Qiang Li | 73 | 856 | 30598 |
Ying Yu | 70 | 602 | 22023 |
De-Yi Wang | 58 | 269 | 9799 |
Xiao-Qi Yu | 52 | 467 | 11083 |
Chuan Wang | 49 | 190 | 8671 |
Leyong Wang | 48 | 208 | 7483 |
Xiaohua Wu | 48 | 211 | 8361 |
Yu Wang | 47 | 438 | 8771 |
Qin Wang | 43 | 119 | 6359 |
Hongming Xu | 42 | 299 | 6551 |