no code implementations • 12 Oct 2023 • Yuanwei Qu, Baifan Zhou, Arild Waaler, David Cameron
The petroleum industry is crucial for modern society, but the production process is complex and risky.
no code implementations • 2 Aug 2023 • Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlan-Grangel Gonzalez, Ahmet Soylu, Evgeny Kharlamov
Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML).
no code implementations • 2 Aug 2023 • Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov
Industry 4. 0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety.
1 code implementation • 4 May 2023 • Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Gad-Elrab Mohamed, Heiko Paulheim, Evgeny Kharlamov
Many machine learning (ML) libraries are accessible online for ML practitioners.
no code implementations • 22 Sep 2022 • Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Ahmet Soylu, Evgeny Kharlamo
Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data.
no code implementations • 22 Sep 2022 • Dongzhuoran Zhou, Baifan Zhou, Jieying Chen, Gong Cheng, Egor V. Kostylev, Evgeny Kharlamov
One important approach of KG generation is to map the raw data to a given KG schema, namely a domain ontology, and construct the entities and properties according to the ontology.
no code implementations • 29 Sep 2021 • Li Zeng, Baifan Zhou, Mohammad Al-Rifai, Evgeny Kharlamov
We propose a neural networks approach SegTime that finds precise breakpoints, obviates sliding windows, handles long-term dependencies, and it is insensitive to the label changing frequency.