Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Factors influencing the learning transfer of nursing students in a non-face-to-face educational environment during the COVID-19 pandemic in Korea: a cross-sectional study using structural equation modeling. [PDF]
J Educ Eval Health Prof, 2023 Kim GM, Kim Y, Kim SK.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning. [PDF]
Front Artif Intell, 2021 Wilschut T +5 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley +1 more source
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning. [PDF]
Sensors (Basel), 2021 Hua J, Zeng L, Li G, Ju Z.
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Transfer Learning: Analysis of a Matlab code
openIl transfer learning è una tecnica fondamentale del machine learning, la quale permette il riutilizzo di un modello pre-addestrato per riadattarlo e personalizzarlo a nuovi scopi.
CIMAROSTI, LORENZO
core
Accelerated HE digitalisation: Exploring staff and student experiences of the COVID-19 rapid online-learning transfer. [PDF]
Educ Inf Technol (Dordr), 2022 Nicklin LL +7 more
europepmc +1 more source
Learning Bound for Parameter Transfer Learning
CoRR, 2016 We consider a transfer-learning problem by using the parameter transfer approach, where a suitable parameter of feature mapping is learned through one task and applied to another objective task. Then, we introduce the notion of the local stability and parameter transfer learnability of parametric feature mapping,and thereby derive a learning bound for ...
openaire +3 more sources