Results 161 to 170 of about 636,159 (270)
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
Advanced Engineering Materials, EarlyView.A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann +5 more
wiley +1 more source
Activating discipline specific thinking with adaptive learning: A digital tool to enhance learning in chemistry. [PDF]
PLoS One, 2022 Vincent-Ruz P, Boase NRB.
europepmc +1 more source
Anomaly Detection Method for Hybrid Workpieces Using Dynamic Time Warping
Advanced Engineering Materials, EarlyView.Monitoring of hybrid workpieces: when machining hybrid workpieces, unavoidable axial deviations of the material transition zone cause temporal shifts in the process force signals. A new anomaly detection method based on dynamic time warping is proposed to detect material defects.
Berend Denkena +3 more
wiley +1 more source
Analysis and Construction of the User Characteristic Model in the Adaptive Learning System for Personalized Learning. [PDF]
Comput Intell Neurosci, 2022 Zhao X, Long S, Hu D.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon +7 more
wiley +1 more source
Adaptive learning in university students' opinions: Cross-border research. [PDF]
Educ Inf Technol (Dordr), 2022 Smyrnova-Trybulska E +2 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling +7 more
wiley +1 more source
Electronically Tunable Memristor Emulator Implemented Using a Single Active Element and Its Application in Adaptive Learning. [PDF]
Sensors (Basel), 2023 Tasneem S +3 more
europepmc +1 more source
Ontologies for FAIR Data in Additive Manufacturing: A Use Case‐Based Evaluation
Advanced Engineering Materials, EarlyView.An ontology‐based approach for generating findable, accessible, interoperable, reusable data in additive manufacturing is explored, focusing on powder bed fusion. The article highlights the benefits of enhanced data findability and digital twin enablement, while addressing challenges like data integration complexity and the need for specialized ...
Thomas Bjarsch +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong +11 more
wiley +1 more source