Results 41 to 50 of about 172,456 (264)
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
InfinityIn an era where data is increasingly prevalent, statistical literacy skills are essential for active citizenship and informed decision-making. For future generations, prospective teachers play a role in developing this skill.
Rahma Siska Utari +3 more
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Jurnal EdusciencePurpose – Accelerated by the COVID-19 epidemic, the move to online and hybrid learning settings has underlined the need for constructivist ideas in contemporary education.
Faiz Rizqullah Pratama +5 more
doaj +1 more source
Specifics of the students’ critical thinking formation within active learning space
Frontiers in Education, 2023 Critical thinking skills are important for personal development and self-realization in professional activity. Thus, this research was aimed at obtaining data about the formation of students’ critical thinking and the professional competencies of the ...
Nataliya Solovyeva +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
PRANATACARA LEARNING: MODELING, MIND MAPPING, E-LEARNING, OR HYBRID LEARNING?
Cakrawala Pendidikan: Jurnal Ilmiah Pendidikan, 2019 This research was aimed to examine the most effective learning model for Pranatacara (Master of Ceremony) course. By having effective learning, the students can master the skills at being a professional Pranatacara. The study used the experimental method
Suwarna Dwijonagoro, Suparno Suparno
doaj +1 more source
Hybrid Learning of RBF Networks [PDF]
, 2002 Three different learning methods for RBF networks and their combinations are presented. Standard gradient learning, three-step algoritm with unsupervised part, and evolutionary algorithm are introduced. Their perfromance is compared on two benchmark problems: Two spirals and Iris plants. The results show that three-step learning is usually the fastest,
Roman Neruda, Petra Kudová
openaire +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source