Results 81 to 90 of about 801,900 (223)
Machine learning, meaning making: On reading computer science texts
, 2023 Louise Amoore +3 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.This article introduces an automated approach for converting the raw research data (use case of low‐cycle‐fatigue testing dataset) to machine‐readable resource description framework ones and storing them in an open digital repository. As two main prerequisites for this data digitalization process, the development of fatigue testing ontology and ckan ...
Hossein Beygi Nasrabadi +2 more
wiley +1 more source
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning [PDF]
arXivDespite the buzz around ChatGPT's potential, empirical studies exploring its actual utility in the classroom for learning remain scarce. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers from a Korean university and assessing how they integrated ChatGPT into science learning activities.
arxiv
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.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
Categorisation of Computer Science Research Papers using Supervised Machine Learning Techniques [PDF]
, 2020 Hemrajsingh Gheeseewan +1 more
openalex +1 more source
An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack
Advanced Engineering Materials, EarlyView.The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller +2 more
wiley +1 more source
Digital Methods for the Fatigue Assessment of Engineering Steels
Advanced Engineering Materials, EarlyView.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
Advanced Engineering Materials, EarlyView.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
CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Education [PDF]
arXivThe growing enrollments in computer science courses and increase in class sizes necessitate scalable, automated tutoring solutions to adequately support student learning. While Large Language Models (LLMs) like GPT-4 have demonstrated potential in assisting students through question-answering, educators express concerns over student overreliance ...
arxiv