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2020 – today
- 2024
[i1]Zheng Li, Lijia Si, Caili Guo, Yang Yang, Qiushi Cao:
Data Augmentation for Text-based Person Retrieval Using Large Language Models. CoRR abs/2405.11971 (2024)- 2023
- [j9]Qiushi Cao
, Cheng Ge, Xuejie Wang, Peta J. Harvey, Zixuan Zhang, Yuan Ma, Xianghong Wang, Xinying Jia, Mehdi Mobli, David J. Craik, Tao Jiang, Jinbo Yang, Zhiqiang Wei, Yan Wang, Shan Chang, Rilei Yu:
Designing antimicrobial peptides using deep learning and molecular dynamic simulations. Briefings Bioinform. 24(2) (2023) - [j8]Wei Yan, Yu Shi, Zengyan Ji, Yuan Sui, Zhenzhen Tian, Wanjing Wang, Qiushi Cao:
Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph. Eng. Appl. Artif. Intell. 126: 106798 (2023) - [c7]Qiushi Cao, Irlán Grangel-González, Lin Du:
A Knowledge Graph-based Approach for the Quality Management of Bosch. ISWC (Posters/Demos/Industry) 2023 - 2022
- [j7]Qiushi Cao, Sadeer Beden, Arnold Beckmann:
A core reference ontology for steelmaking process knowledge modelling and information management. Comput. Ind. 135: 103574 (2022) - [j6]Wei Yan, Cecilia Zanni-Merk, Denis Cavallucci, Qiushi Cao, Liang Zhang, Zengyan Ji:
A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering Design. Inf. 13(3): 143 (2022) - [j5]Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann, Cinzia Giannetti:
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. Robotics Comput. Integr. Manuf. 74: 102281 (2022) - 2021
- [j4]Sadeer Beden, Qiushi Cao, Arnold Beckmann:
SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0. Inf. 12(8): 304 (2021) - [c6]Sadeer Beden, Qiushi Cao, Arnold Beckmann:
Semantic Asset Administration Shells in Industry 4.0: A Survey. ICPS 2021: 31-38 - 2020
- [b1]Qiushi Cao:
Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0. (Technologies sémantiques pour la modélisation de la maintenance prédictive pour un réseau de PME dans le cadre de l'industrie 4.0). Normandy University, Caen, France, 2020 - [j3]Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, François de Bertrand de Beuvron, Christoph Reich:
Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems. Cybern. Syst. 51(2): 161-176 (2020) - [j2]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
Combining chronicle mining and semantics for predictive maintenance in manufacturing processes. Semantic Web 11(6): 927-948 (2020) - [c5]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance. ICAART (2) 2020: 618-625 - [c4]Gabriel H. A. Medeiros, Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet:
Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach. KES-IDT 2020: 37-47
2010 – 2019
- 2019
- [j1]Qiushi Cao, Franco Giustozzi, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach. Cybern. Syst. 50(2): 82-96 (2019) - [c3]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules. KES 2019: 630-639 - 2018
- [c2]Qiushi Cao:
Semantic Technologies for the Modeling of Condition Monitoring Knowledge in the Framework of Industry 4.0. EKAW (Doctoral Consortium) 2018 - [c1]Qiushi Cao, Cecilia Zanni-Merk, Christoph Reich:
Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain. KEOD 2018: 310-316
Coauthor Index
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