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456 results on '"Wang, Hanzhang"'

52. MOTOR BEARING FAULT DIAGNOSIS BASED ON RELEVANCE VECTOR MACHINE OPTIMIZE BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM

Author

WANG HanZhang

Subjects
Fruit fly optimization algorithm, Reverse cognition, Relevance vector machine, Fault diagnosis, Bearing, Mechanical engineering and machinery, TJ1-1570, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

Aiming at the fact that the fault diagnosis performance of relevance vector machine（RVM） in motor bearing highly depends on the parameters selection, a motor bearing fault diagnosis method based on RVM optimized by fruit fly optimization algorithm with reverse cognition（RCFOA） was proposed. In order to improve search ability of FOA, reverse cognition strategy was introduced and improved the original FOA algorithm. Use the RCFOA to optimize RVM parameters can effectively improve the classification performance of RVM. Different fault type and different fault degree of motor bearing fault diagnosis experiment results show that the RCFOA can obtain better parameter when compared with some other methods, improved the fault diagnosis accuracy of RVM and can applied to fault diagnosis efficiently.

Published
2019
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53. Improving Web Services Design Quality Using Dimensionality Reduction Techniques

Author

Wang, Hanzhang, Kessentini, Marouane, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Maximilien, Michael, editor, Vallecillo, Antonio, editor, Wang, Jianmin, editor, and Oriol, Marc, editor

Published
2017
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57. Prediction of Web Services Evolution

Author

Wang, Hanzhang, Kessentini, Marouane, Ouni, Ali, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sheng, Quan Z., editor, Stroulia, Eleni, editor, Tata, Samir, editor, and Bhiri, Sami, editor

Published
2016
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58. Bi-level Identification of Web Service Defects

Author

Wang, Hanzhang, Kessentini, Marouane, Ouni, Ali, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Sheng, Quan Z., editor, Stroulia, Eleni, editor, Tata, Samir, editor, and Bhiri, Sami, editor

Published
2016
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61. Risk factors for massive transfusion in obstetrical hemorrhage and consideration of a whole blood program

Author

Myers, John C., primary, Braverman, Maxwell A., additional, Ciaraglia, Angelo, additional, Alkhateb, Rahaf, additional, Barry, Lauran, additional, Brooke, Zachary, additional, Chang, Jeffrey, additional, Wang, Hanzhang, additional, Elenes, Rafael, additional, Hepburn, Byron, additional, Ireland, Kayla, additional, Jonas, Rachelle, additional, Nelson, Jeremy, additional, Pedraza, Santiago, additional, Song, Jun, additional, Nicholson, Susannah, additional, Eastridge, Brian, additional, Stewart, Ronald, additional, Greebon, Leslie, additional, Xenakis, Elly, additional, and Jenkins, Donald, additional

Published
2023
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72. Reply by Authors

Author

Garg, Harshit, primary, Psutka, Sarah P., additional, Hakimi, Abraham Ari, additional, Kim, Hyung L., additional, Mansour, Ahmed M., additional, Pruthi, Deepak K., additional, Liss, Michael A., additional, Wang, Hanzhang, additional, Gaspard, Christine S., additional, Ramamurthy, Chethan, additional, Svatek, Robert S., additional, and Kaushik, Dharam, additional

Published
2022
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73. A Decade of Robotic-Assisted Radical Nephrectomy with Inferior Vena Cava Thrombectomy: A Systematic Review and Meta-Analysis of Perioperative Outcomes

Author

Garg, Harshit, primary, Psutka, Sarah P., additional, Hakimi, Abraham Ari, additional, Kim, Hyung L., additional, Mansour, Ahmed M., additional, Pruthi, Deepak K., additional, Liss, Michael A., additional, Wang, Hanzhang, additional, Gaspard, Christine S., additional, Ramamurthy, Chethan, additional, Svatek, Robert S., additional, and Kaushik, Dharam, additional

Published
2022
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74. Corrigendum to “Long-term L-3-n-butylphthalide pretreatment attenuates ischemic brain injury in mice with permanent distal middle cerebral artery occlusion through the Nrf2 pathway” [Heliyon 8 (7), (July 2022), Article e09909]

Author

Sun, Mingying, primary, Jiang, Changchun, additional, Hao, Xiwa, additional, Pang, Jiangxia, additional, Chen, Chao, additional, Xiang, Wenping, additional, Zhang, Jun, additional, Zhao, Shijun, additional, Wang, Po, additional, Geng, Shangyong, additional, Wang, Hanzhang, additional, Li, Yuechun, additional, and Wang, Baojun, additional

Published
2022
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83. Few-shot pulse wave contour classification based on multi-scale feature extraction

Author

Yvping Zhao, Hongpo Zhang, Lili Guo, Peng Lu, Liu Chao, Wang Hanzhang, and Xiaobo Mao

Subjects
Scale (ratio), Computer science, Science, Feature extraction, 02 engineering and technology, Article, Convolution, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Pulse wave, Multidisciplinary, Series (mathematics), Artificial neural network, business.industry, Deep learning, Pattern recognition, Cardiovascular diseases, Medicine, 020201 artificial intelligence & image processing, Artificial intelligence, business, Biomedical engineering, 030217 neurology & neurosurgery
Abstract

The annotation procedure of pulse wave contour (PWC) is expensive and time-consuming, thereby hindering the formation of large-scale datasets to match the requirements of deep learning. To obtain better results under the condition of few-shot PWC, a small-parameter unit structure and a multi-scale feature-extraction model are proposed. In the small-parameter unit structure, information of adjacent cells is transmitted through state variables. Simultaneously, a forgetting gate is used to update the information and retain long-term dependence of PWC in the form of unit series. The multi-scale feature-extraction model is an integrated model containing three parts. Convolution neural networks are used to extract spatial features of single-period PWC and rhythm features of multi-period PWC. Recursive neural networks are used to retain the long-term dependence features of PWC. Finally, an inference layer is used for classification through extracted features. Classification experiments of cardiovascular diseases are performed on photoplethysmography dataset and continuous non-invasive blood pressure dataset. Results show that the classification accuracy of the multi-scale feature-extraction model on the two datasets respectively can reach 80% and 96%, respectively.

Published
2021

93. Homologous Recombination Related Signatures Predict Prognosis and Immunotherapy Response in Metastatic Urothelial Carcinoma

Author

Li, Pan, primary, Chen, Chaohu, additional, Li, Jianpeng, additional, Yang, Li, additional, Wang, Yuhan, additional, Dong, Zhilong, additional, Mi, Jun, additional, Zhang, Yunxin, additional, Wang, Juan, additional, Wang, Hanzhang, additional, Rodriguez, Ronald, additional, Tian, Junqiang, additional, and Wang, Zhiping, additional

Published
2022
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