Results 111 to 120 of about 2,675,823 (174)
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu+4 more
openalex +2 more sources
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs
Yuhan Wu+3 more
openalex +2 more sources
Digital Methods for the Fatigue Assessment of Engineering Steels
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener+7 more
wiley +1 more source
On Top-Down Reasoning Using Knowledge Representation Dealing with Ambiguous Concepts
Osamu Yoshie+3 more
openalex +2 more sources
Preface: Special Issue on Knowledge Representation and Reasoning for Healthcare Processes
Francesca Zerbato+2 more
openalex +1 more source
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep+5 more
wiley +1 more source
Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller+8 more
wiley +1 more source
Decidable Reasoning in Terminological Knowledge Representation Systems
Martin Buchheit+2 more
openalex +2 more sources