Search Results for author: Ahmet Soylu

Found 5 papers, 0 papers with code

Comparison of Microservice Call Rate Predictions for Replication in the Cloud

no code implementations29 Oct 2023 Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan

Today, many users deploy their microservice-based applications with various interconnections on a cluster of Cloud machines, subject to stochastic changes due to dynamic user requirements.

regression

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case

no code implementations2 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).

Knowledge Graph Embedding Link Prediction

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case

no code implementations2 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.

Data Integration Distributed Computing

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

no code implementations29 May 2023 Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin

Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks.

Contrastive Learning few-shot-ner +6

Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping

no code implementations22 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.

Anomaly Detection Data Integration +1

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