8 citations · 21 across the 6 of their papers we have counts for
6 papers
Scheduling of Distributed Applications on the Computing Continuum: A Survey
Narges Mehran, Dragi Kimovski, Hermann Hellwagner +3
The demand for distributed applications has significantly increased over the past decade, with improvements in machine learning techniques fueling this growth. These applications p…
Comparison of Microservice Call Rate Predictions for Replication in the Cloud
Narges Mehran, Arman Haghighi, Pedram Aminharati +4
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 requi…
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng +5
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 mathem…
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng +5
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. In that contex…
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
Amirhossein Layegh, Amir H. Payberah, Ahmet Soylu +2
Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence…
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping
Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou +4
Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as…