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2020 – today
- 2024
[j14]Guifeng Ye
, Shaowen Lu:
Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm. IEEE Trans. Artif. Intell. 5(9): 4493-4505 (2024)- [j13]Shaowen Lu, Yajun Zhang, Jinfeng Wu:
Online Prediction of Industrial Process Index: An Edge-Cloud Collaborated Approach. IEEE Trans. Ind. Electron. 71(9): 11419-11428 (2024) - [j12]Yuxiang Hu, Shaowen Lu, Jiajun Kang, Chaozhong Guo, Jihong Yan:
Sensor Fault Detection for CPS Under Attack-Free Consensus Protocol. IEEE Trans. Instrum. Meas. 73: 1-4 (2024) - 2022
- [j11]Shaowen Lu, Yixin Wen:
Semi-Supervised Condition Monitoring and Visualization of Fused Magnesium Furnace. IEEE Trans Autom. Sci. Eng. 19(4): 3471-3482 (2022) - 2020
- [j10]Shaowen Lu, Shuyu Huang:
Segmentation of Multivariate Industrial Time Series Data Based on Dynamic Latent Variable Predictability. IEEE Access 8: 112092-112103 (2020) - [j9]Shaowen Lu:
Segmentation Improved Label Propagation for Semi-Supervised Anomaly Detection in Fused Magnesia Furnace Process. IEEE Access 8: 219214-219222 (2020) - [j8]Jie Yang, Shaowen Lu, Liangyong Wang:
Fused magnesia manufacturing process: a survey. J. Intell. Manuf. 31(2): 327-350 (2020) - [j7]Shaowen Lu, Tianyou Chai:
Mesoscale Particle Size Predictive Model for Operational Optimal Control of Bauxite Ore Grinding Process. IEEE Trans. Ind. Informatics 16(12): 7714-7721 (2020) - [c4]Shaowen Lu, Yixin Wen:
Semi-supervised Learning Approach to Abnormality Detection with Complementary Features. INDIN 2020: 110-114
2010 – 2019
- 2019
- [j6]Chengcheng Hua, Hong Wang, Hong Wang, Shaowen Lu, Chong Liu, Syed Madiha Khalid:
A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection. Int. J. Neural Syst. 29(1): 1850015:1-1850015:17 (2019) - [c3]Shaowen Lu, Hongru Gao:
Deep Learning Based Fusion of RGB and Infrared Images for the Detection of Abnormal Condition of Fused Magnesium Furnace. ICCA 2019: 987-993 - [c2]Shaowen Lu, Shuyu Huang:
A Mesoscale Endpoint Predictive Model of Ore Grinding Particle Size. INDIN 2019: 603-606 - 2017
- [j5]Jie Yang, Shaowen Lu, Liangyong Wang, Quan Xu:
Intelligent cloud based monitoring system of electricity demand of fused magnesium furnace process. Int. J. Simul. Process. Model. 12(5): 389-400 (2017) - [c1]Sohum Sohoni, Scotty D. Craig, Shaowen Lu:
Impact of Prior Exposure to the PLP Instruction Set Architecture in a Computer Architecture Course. SIGCSE 2017: 555-560 - 2014
- [j4]Ping Zhou, Shaowen Lu, Tianyou Chai:
Data-Driven Soft-Sensor Modeling for Product Quality Estimation Using Case-Based Reasoning and Fuzzy-Similarity Rough Sets. IEEE Trans Autom. Sci. Eng. 11(4): 992-1003 (2014) - [j3]Shaowen Lu, Ping Zhou, Tianyou Chai, Wei Dai:
Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control. IEEE Trans Autom. Sci. Eng. 11(4): 1004-1019 (2014)
2000 – 2009
- 2009
- [j2]Shaowen Lu, John A. Schormans:
Error analysis in accelerated session-level MANET simulations. Simul. Model. Pract. Theory 17(7): 1171-1198 (2009) - 2008
- [j1]Shaowen Lu, John A. Schormans:
Time-stepped approach for accelerated simulation of mobile ad hoc networks. IET Commun. 2(5): 609-620 (2008)
Coauthor Index
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