Institution
Northeastern University (China)
Education•Shenyang, China•
About: Northeastern University (China) is a education organization based out in Shenyang, China. It is known for research contribution in the topics: Control theory & Microstructure. The organization has 36087 authors who have published 36125 publications receiving 426807 citations. The organization is also known as: Dōngběi Dàxué & Northeastern University (东北大学).
Topics: Control theory, Microstructure, Nonlinear system, Fuzzy logic, Alloy
Papers published on a yearly basis
Papers
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TL;DR: It is shown that the proposed fault-tolerant synchronization control approach is valid for the CDN with both time-invariant and time-varying coupling weights.
Abstract: This paper is concerned with the problem of adaptive fault-tolerant synchronization control of a class of complex dynamical networks (CDNs) with actuator faults and unknown coupling weights. The considered input distribution matrix is assumed to be an arbitrary matrix, instead of a unit one. Within this framework, an adaptive fault-tolerant controller is designed to achieve synchronization for the CDN. Moreover, a convex combination technique and an important graph theory result are developed, such that the rigorous convergence analysis of synchronization errors can be conducted. In particular, it is shown that the proposed fault-tolerant synchronization control approach is valid for the CDN with both time-invariant and time-varying coupling weights. Finally, two simulation examples are provided to validate the effectiveness of the theoretical results.
141 citations
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TL;DR: Experiments conducted on the real data sets CB513 and RS126 demonstrate that the proposed ELM based protein secondary structure prediction framework can achieve as good prediction accuracy as other popular methods; however, at very fast learning speed.
141 citations
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TL;DR: A three-stage SSL approach using data augmentation (DA) and metric learning is proposed for an intelligent bearing fault diagnosis under limited labeled data to demonstrate that the proposed method can perform better in bearing fault diagnosed under limited labeling samples than existing diagnostic methods.
141 citations
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TL;DR: This review highlights new insights into the various strategies for tuning the optical features of GQDs, and their employment as attractive and powerful probes for bio-sensing/imaging.
Abstract: Due to their low toxicity, excellent biocompatibility and attractive optical properties, graphene quantum dots (GQDs) have attracted significant attention in the analytical and biological fields. The controllable intrinsic nature of graphene nano-sheets, e.g., size, layer, edge state or shape, offer the chance to fabricate GQDs with tunable photoluminescence behaviors. Carboxylic moieties on the surface and edges of GQDs can provide efficient reactive sites for interaction with various polymeric, organic, inorganic and biological species. This not only provides the chance to tune the optical properties of GQDs via facile chemical approaches such as surface modulation and doping, but also makes GQDs eco-friendly alternatives to replace the traditional fluorescent probes in biological assays. This review highlights new insights into the various strategies for tuning the optical features of GQDs, and their employment as attractive and powerful probes for bio-sensing/imaging. The challenges and future perspectives in the related fields are discussed.
141 citations
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TL;DR: The exceptional sensitivity, selectivity, and reusability of this folding-based electrochemical DNA aptasensor platform suggest it may be a promising strategy for a wide variety of sensing applications.
140 citations
Authors
Showing all 36436 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rui Zhang | 151 | 2625 | 107917 |
Hui-Ming Cheng | 147 | 880 | 111921 |
Yonggang Huang | 136 | 797 | 69290 |
Yang Liu | 129 | 2506 | 122380 |
Tao Zhang | 123 | 2772 | 83866 |
J. R. Dahn | 120 | 832 | 66025 |
Terence G. Langdon | 117 | 1158 | 61603 |
Frank L. Lewis | 114 | 1045 | 60497 |
Xin Li | 114 | 2778 | 71389 |
Peng Wang | 108 | 1672 | 54529 |
David J. Hill | 107 | 1364 | 57746 |
Jian Zhang | 107 | 3064 | 69715 |
Xuemin Shen | 106 | 1221 | 44959 |
Yi Zhang | 102 | 1817 | 53417 |
Tao Li | 102 | 2483 | 60947 |