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Analyses of bounces on power distribution networks using an unconditionally stable finite-difference time-domain method
Analyses of bounces on power distribution networks using an unconditionally stable finite-difference time-domain method
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Analyses of bounces on power distribution networks using an unconditionally stable finite-difference time-domain method

WANG, Bing-Zhong ; YU, Zhong-Jun ; WEI SHAO ; DING, Ping-Ping

IEEE transactions on mobile computing, 2006-01, Vol.5 (1), p.20-27 [Periódico revisado por pares]

New York, NY: IEEE

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A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites
A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites
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A Cascade Random Forests Algorithm for Predicting Protein-Protein Interaction Sites

Wei, Zhi-Sen ; Yang, Jing-Yu ; Shen, Hong-Bin ; Yu, Dong-Jun

IEEE transactions on nanobioscience, 2015-10, Vol.14 (7), p.746-760

United States: IEEE

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3
Intelligent Optimization of Diversified Community Prevention of COVID-19 Using Traditional Chinese Medicine
Intelligent Optimization of Diversified Community Prevention of COVID-19 Using Traditional Chinese Medicine
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Intelligent Optimization of Diversified Community Prevention of COVID-19 Using Traditional Chinese Medicine

Zheng, Yu-Jun ; Yu, Si-Lan ; Yang, Jun-Chao ; Gan, Tie-Er ; Song, Qin ; Yang, Jun ; Karatas, Mumtaz

IEEE computational intelligence magazine, 2020-11, Vol.15 (4), p.62-73

IEEE

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4
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine
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TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine

Li, Guang-Qing ; Liu, Zi ; Shen, Hong-Bin ; Yu, Dong-Jun

IEEE transactions on nanobioscience, 2016-10, Vol.15 (7), p.674-682

New York: IEEE

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5
Constructing Query-Driven Dynamic Machine Learning Model With Application to Protein-Ligand Binding Sites Prediction
Constructing Query-Driven Dynamic Machine Learning Model With Application to Protein-Ligand Binding Sites Prediction
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Constructing Query-Driven Dynamic Machine Learning Model With Application to Protein-Ligand Binding Sites Prediction

Yu, Dong-Jun ; Hu, Jun ; Li, Qian-Mu ; Tang, Zhen-Min ; Yang, Jing-Yu ; Shen, Hong-Bin

IEEE transactions on nanobioscience, 2015-01, Vol.14 (1), p.45-58

United States: IEEE

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6
Rising Stars
Rising Stars
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Rising Stars

Chung, Oscar

Taiwan review (Taipei), 2021-11, Vol.71 (6), p.34

Los Angeles: Free China Review

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7
The pH dependence of the SERS spectra of methyl yellow in silver colloid
The pH dependence of the SERS spectra of methyl yellow in silver colloid
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The pH dependence of the SERS spectra of methyl yellow in silver colloid

Zhang, Zhen Long ; Chang, Da Hu ; Jun Mo, Yu

Spectroscopy, 2011-06, Vol.26 (6), p.38

Monmouth Junction: UBM LLC

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8
Characterization of LDO Induced Increment of SEE Sensitivity for 22-nm FDSOI SRAM
Characterization of LDO Induced Increment of SEE Sensitivity for 22-nm FDSOI SRAM
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Characterization of LDO Induced Increment of SEE Sensitivity for 22-nm FDSOI SRAM

Cai, Chang ; Liu, Yuzhu ; Hu, Minchi ; Chen, Gengshen ; Yu, Jun

IEEE transactions on device and materials reliability, 2023-12, Vol.23 (4), p.537-543 [Periódico revisado por pares]

New York: IEEE

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9
Final Divide
Final Divide
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Final Divide

Yu, Jun

Beijing review, 2006-06, Vol.49 (23), p.10

Beijing: The Financial Times Limited

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10
Back in the Spotlight
Back in the Spotlight
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Back in the Spotlight

Yu, Jun

Beijing review, 2006-04, Vol.49 (17), p.10

Beijing: The Financial Times Limited

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