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: Microstructure & Control theory. 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).
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The electron backscatter diffraction technique and Schmid factor analysis revealed that deformation twinning was influenced both by grain rotation due to slip and by the Schmid Factor as discussed by the authors.
206 citations
••
TL;DR: This study tested the feasibility of using deep learning algorithms for lung cancer diagnosis with the cases from Lung Image Database Consortium (LIDC) database, including Convolutional Neural Network, Deep Belief Networks, and Stacked Denoising Autoencoder.
Abstract: Deep learning is considered as a popular and powerful method in pattern recognition and classification. However, there are not many deep structured applications used in medical imaging diagnosis area, because large dataset is not always available for medical images. In this study we tested the feasibility of using deep learning algorithms for lung cancer diagnosis with the cases from Lung Image Database Consortium (LIDC) database. The nodules on each computed tomography (CT) slice were segmented according to marks provided by the radiologists. After down sampling and rotating we acquired 174412 samples with 52 by 52 pixel each and the corresponding truth files. Three deep learning algorithms were designed and implemented, including Convolutional Neural Network (CNN), Deep Belief Networks (DBNs), Stacked Denoising Autoencoder (SDAE). To compare the performance of deep learning algorithms with traditional computer aided diagnosis (CADx) system, we designed a scheme with 28 image features and support vector machine. The accuracies of CNN, DBNs, and SDAE are 0.7976, 0.8119, and 0.7929, respectively; the accuracy of our designed traditional CADx is 0.7940, which is slightly lower than CNN and DBNs. We also noticed that the mislabeled nodules using DBNs are 4% larger than using traditional CADx, this might be resulting from down sampling process lost some size information of the nodules.
206 citations
••
TL;DR: In this paper, a novel optimal power management approach for plug-in hybrid electric vehicles against uncertain driving conditions was proposed, where the particle swarm optimization algorithm was employed to optimize the threshold parameters of the rule-based power management strategy under a certain driving cycle, and the optimization results were used to determine the optimal control actions.
206 citations
••
TL;DR: Two mathematical models for path selection in emergency logistics management are presented considering more actual factors in time of disaster and a multi-objective path selection model is presented to minimize the total travel time along a path and to minimizing the path complexity.
206 citations
••
TL;DR: In this paper, a numerical simulator based on RFPA (Rock Failure Process Analysis) is used to study the deformation and failure process of a Brazilian disk of heterogeneous rock when subjected to static and dynamic loading conditions.
205 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 |