Qiushi Cao

Orcid: 0000-0002-2768-0814

According to our database1, Qiushi Cao authored at least 16 papers between 2018 and 2023.

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Bibliography

2023
Designing antimicrobial peptides using deep learning and molecular dynamic simulations.
Briefings Bioinform., March, 2023

A Knowledge Graph-based Approach for the Quality Management of Bosch.
Proceedings of the ISWC 2023 Posters, 2023

2022
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0.
Robotics Comput. Integr. Manuf., 2022

A Rule-Based Heuristic Methodology for Su-Field Analysis in Industrial Engineering Design.
Inf., 2022

A core reference ontology for steelmaking process knowledge modelling and information management.
Comput. Ind., 2022

2021
SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0.
Inf., 2021

Semantic Asset Administration Shells in Industry 4.0: A Survey.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
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).
PhD thesis, 2020

Combining chronicle mining and semantics for predictive maintenance in manufacturing processes.
Semantic Web, 2020

Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems.
Cybern. Syst., 2020

Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach.
Proceedings of the Intelligent Decision Technologies, 2020

Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach.
Cybern. Syst., 2019

An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

2018
Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Semantic Technologies for the Modeling of Condition Monitoring Knowledge in the Framework of Industry 4.0.
Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018), 2018


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