Results 21 to 30 of about 4,266 (248)

Trust–Region Nonlinear Optimization Algorithm for Orientation Estimator and Visual Measurement of Inertial–Magnetic Sensor

Drones, 2023
This paper proposes a novel robust orientation estimator to enhance the accuracy and robustness of orientation estimation for inertial–magnetic sensors of the small consumer–grade drones.
Nan Jia, Zongkang Wei, Bangyu Li
doaj   +1 more source

Assessing Children’s Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach

Journal of Medical Internet Research, 2021
BackgroundApproximately 5%-10% of elementary school children show delayed development of fine motor skills. To address these problems, detection is required.
Brons, Annette, de Schipper, Antoine, Mironcika, Svetlana, Toussaint, Huub, Schouten, Ben, Bakkes, Sander, Kröse, Ben   +6 more
doaj   +1 more source

Research on（t，k）-diagnosability for augmented cube network under the comparison model

Tongxin xuebao, 2017
Aiming at the prob1em of fau1t diagnosis in the augmented cube network，（t，k）-fau1t diagnosis method based on the comparison mode1 was proposed.The important properties of the n-dimensiona1 augmented cube network（AQn）by the method of graph theory were ...
Jia-rong LIANG, Miao-jiang CHEN
doaj   +2 more sources

Providing dementia education with augmented reality: a health sciences and medicine feasibility pilot study

Research in Learning Technology, 2022
Understanding the key physiology and anatomy of the brain, and the mechanisms underlying dementia, represents essential components within a medical curriculum.
Cindy Jones, Daniel Khalil, Karanjot Mander, Alexandra Yeoh, Christian Moro   +4 more
doaj   +1 more source

Strong matching preclusion for augmented cubes

Theoretical Computer Science, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eddie Cheng 0001, Shalin Shah, Vyom Shah, Daniel E. Steffy   +3 more
openaire   +2 more sources

Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Hyperspectral image classification (HSIC) has generated considerable interests over the past years. However, one of challenging issues arising in HSIC is inconsistent classification, which is mainly caused by random training sampling (RTS) of selecting ...
Chein-I Chang, Kenneth Yeonkong Ma, Chia-Chen Liang, Yi-Mei Kuo, Shuhan Chen, Shengwei Zhong   +5 more
doaj   +1 more source

CuBE: A Customizable Bounds Evaluation Framework for Automated Assessment of RAG Systems in Government Services

Applied Sciences
Retrieval-Augmented Generation (RAG) systems are increasingly adopted in government services, yet different administrations have varying customization needs and lack standardized methods to evaluate performance.
Bolun Yang, Xuhong Yu, Xin Zheng, Jing Nong, Zhentao Liu, Xinmin Dai, Xiaoyao Xie   +6 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Rafting of Ni‐Based Superalloys Under Multiaxial Load as Understood by Phase‐Field Simulations and Critical Experiments

Advanced Engineering Materials, EarlyView.
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan, David Bürger, Gunther Eggeler, Oleg Shchyglo, Ingo Steinbach, Muhammad Adil Ali   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source