Results 71 to 80 of about 25,488 (167)
Statistical relational learning for prognostics
The field of prognostics aims to predict the remaining useful life of a component or machine by means of probabilistic models. These models typically need to satisfy different requirements imposed by the available data, the expert knowledge and the prediction task at hand.
Vlasselaer, Jonas, Meert, Wannes
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The use of Artificial Intelligence has already changed every sphere of our lives and legal field is not an exception as cases are being prepared by analyzing content of legal documents.
Xiaoyue Zhang, Shuang Liu
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This paper addresses the processes involved in the Europeanisation of adult education, with a particular focus on the limitations of EU policies aimed at increasing adult participation in education and learning.
Fátima Antunes
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Game-based application for normalization learning
Normalization is a relational database design for the organizing data process to minimize redundancy. The main aim for this study is to develop a game application for normalization learning.
Nik Nuru Izzasalwani Nik Pa +2 more
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Network-based Anomaly Detection in Waste Transportation Data with Limited Supervision
Detecting anomalies in Waste transportation networks is vital for uncovering illegal or unsafe activities, that can have serious environmental and regulatory consequences. Identifying anomalies in such networks presents a significant challenge due to the
Nirbhaya Shaji +6 more
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Statistical and Relational Learning for Understanding Enzyme Function.
Unravelling the functioning of the complex processes involved in living systems is a challenging task. Enzymes are involved in almost all of the chemical processes taking place within the cell. They accelerate chemical reactions by forming a complex with the substrate and therefore lowering the reaction activation energy.
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Enhancing nurses' clinical decision-making confidence through dual pathways of self-directed learning: A structural equation model. [PDF]
Wu L, Zhang M, Ye J.
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A platform for investigating prompt framing as interface parameters in foundation models for robotics. [PDF]
Tuladhar A, Kinney-Lang E.
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Graph-Tabular Latent Fusion for Non-Contact Body Temperature Prediction from Thermal Facial Landmarks. [PDF]
Ng YC +5 more
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Social functioning profiles, attention skills and learning: what relationships in early childhood? [PDF]
Commodari E, Foti F, La Rosa VL.
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