Literal-aware knowledge graph embedding for welding quality monitoring: a bosch case
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 …
attempts to learn the embeddings of the entities and relations as numerical vectors and …
Cloud storage tier optimization through storage object classification
Cloud storage adoption has increased over the years given the high demand for fast
processing, low access latency, and ever-increasing amount of data being generated by, eg …
processing, low access latency, and ever-increasing amount of data being generated by, eg …
Datalog with external machine learning functions for automated cloud resource configuration
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data
from factory production, posing big data challenges. In that context, distributed computing …
from factory production, posing big data challenges. In that context, distributed computing …
Text Summarization Generation Based on Improved Transformer Model
In the era of big data, the number of internet users is increasing yearly, and each user
receives a massive amount of information every day. The low-value density of massive text …
receives a massive amount of information every day. The low-value density of massive text …
[PDF][PDF] Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch
Background and Challenges. Industry 4.0 focuses on smart factories that rely on IoT
technology for automation. This produces massive amounts of production data, increasing …
technology for automation. This produces massive amounts of production data, increasing …