Blar i ODA Open Digital Archive på forfatter "Waaler, Arild Torolv Søetorp"
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Knowledge graph embedding closed under composition
Zheng, Zhuoxun; Zhou, Baifan; Yang, Hui; Tan, Zhipeng; Sun, Zequn; Li, Chunnong; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny; Soylu, Ahmet (Peer reviewed; Journal article, 2024)Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly important, as they ... -
Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry
Qu, Yuanwei; Zhou, Baifan; Waaler, Arild Torolv Søetorp; Cameron, David B. (Journal article, 2023)The petroleum industry is crucial for modern society, but the production process is complex and risky. During the production, accidents or failures, resulting from undesired production events, can cause severe environmental ... -
SemML: Facilitating development of ML models for condition monitoring with semantics
Zhou, Baifan; Svetashova, Yulia; Silva Gusmao, Andre; Soylu, Ahmet; Cheng, Gong; Miku, Ralf; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny (Journal of Web Semantics;Volume 71, November 2021, 100664, Peer reviewed; Journal article, 2021-10-22)Monitoring of the state, performance, quality of operations and other parameters of equipment and production processes, which is typically referred to as condition monitoring, is an important common practice in many ...