Results 161 to 170 of about 28,265 (304)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

e-Assessment for learning: Can online multiple-choice and extended matching questions really provide useful formative feedback?

open access: yes, 2012
This article investigates the impact on learning of generic feedback provided automatically after online selected response questions, such as multiple-choice or extended matching questions.
Dermo, John, Carpenter, Liz
core  

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong   +4 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

The Use of Multiple Choice Tests for Formative and Summative

open access: yes, 2008
This paper describes the use of multiple-choice tests as an essential part of the assessment for a third-year undergraduate course in computer science. Multiplechoice tests are yesterday's news -- they have been used for student assessment for many ...
Assessment Tim Roberts
core  

Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights

open access: yesAdvanced Intelligent Systems, EarlyView.
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song   +8 more
wiley   +1 more source

Summative Assessment across three countries

open access: yes
This article builds upon the themes discussed during the panel held at the conference, which focused on summative assessment. During the panel, three researchers—Drijvers, Lemmo and Weigand—presented information on three countries (Italy, the Netherlands,
Hans-Georg Weigand   +3 more
core  

Home - About - Disclaimer - Privacy