Results 101 to 110 of about 738,914 (276)
Assessing metacognitive abilities of postgraduate medical students
Annals of Indian Psychiatry, 2018 Background: Metacognition is essential to successful learning, especially in the field of medicine because it enables individuals to better manage their cognitive skills and determine weaknesses that can be corrected by constructing new cognitive skills.
Neena S Sawant +2 more
doaj +1 more source
An Internet Portal based on 'Twenty Questions' [PDF]
, 2000 An efficient Internet portal should contain a search engine or maybe even a decision support system to supply the user with the information (s)he may be looking for.
Meinsma, G. +3 more
core +1 more source
Self-learning Multiscale Simulation for Achieving High Accuracy and High Efficiency Simultaneously
, 2009 We propose a new multi-scale molecular dynamics simulation method which can achieve high accuracy and high sampling efficiency simultaneously without aforehand knowledge of the coarse grained (CG) potential and test it for a biomolecular system. Based on
Case D. A., Shoji Takada, Wenfei Li
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Generative AI use and self-learning in higher education: the role of learning difficulties
Frontiers in EducationThe rapid development of GenAI tools and their adoption in education have shown promising potential to personalize learning experiences. However, their effectiveness is influenced by factors such as familiarity, frequency of use, and the impact on self ...
Dana Saleh, Areej ElSayary
doaj +1 more source
A self-learning algorithm with one computing parameter for path planning
Dianzi Jishu Yingyong, 2019 The existing robot path planning(RPP) algorithms have the problems that the parameters are complexity. To solve this problem, this paper proposes a self-learning ACO(SlACO) algorithm for robot path planning.
Cheng Le, Xu Yihan, Bian Yuetang
doaj +1 more source
Self-Adversarially Learned Bayesian Sampling
, 2018 Scalable Bayesian sampling is playing an important role in modern machine learning, especially in the fast-developed unsupervised-(deep)-learning models.
Chen, Changyou +2 more
core +1 more source
Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Theory of self-learning $Q$-matrix
Bernoulli, 2013 Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the correct identification of attributes associated with items in a test. In this paper, we set up a mathematical framework under which theoretical properties may be discussed ...
Liu, Jingchen +2 more
openaire +3 more sources