Results 171 to 180 of about 140,529 (219)

Open and reproducible research in musculoskeletal imaging: why it matters and how to implement it with the guidelines of the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community. [PDF]

JBMR Plus
Bonaretti S, Barzegari M, Bevers M, Boyd S, Burghardt AJ, Cameron D, Chiumento F, Crimi G, Degenhart G, Durongbhan P, Espinosa Hernandez MA, Fraterrigo G, Ghasem-Zadeh A, Grassi L, Hirvasniemi J, Hosseinitabatabaei S, Iori G, Kok J, Kuczynski M, Lee Y, Liberati C, Manske S, McCormick M, Monzon M, Pani M, Poncioni S, Quintiens J, Räuber S, Ritsche P, Dario Santamaria A, Santini F, Sarto F, Schileo E, Stadelmann V, Stok KS, Surowiec R, Taddei F, Vicory J, Walle M, Wesseling M, Whittier D, Willie B, Wong AKO, Zukić D.   +43 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

An ICF-based interdisciplinary case management improves functioning, participation, and well-being for people with disabilities in community rehabilitation: a protocol for a randomised controlled trial. [PDF]

Front Rehabil Sci
Yeung CK, Cheng KM, Wong PK, Wong SS, Cheng HY, Cheung WY, Wong WY, Ling CW, Lee CC.   +8 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis. [PDF]

Sci Data
Song X, Lee L, Xie K, Liu X, Deng X, Hong Y.   +5 more
europepmc   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims-the ARIC Study. [PDF]

Am J Epidemiol
Wang T, Pate V, Kim DH, Power MC, Garden G, Palta P, Knopman D, Jonsson-Funk M, Stürmer T, Kucharska-Newton AM.   +9 more
europepmc   +1 more source

Magnetic Field Control Using an Electromagnetic Actuation System with Combined Air‐Core and Metal‐Core Coils

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
An electromagnetic manipulation system enhances magnetic field strength in the Z‐direction for 3D control of microrobots and nanoparticles. Featuring eight metal‐core coils and two air‐core coils arranged hemispherically, it ensures unimpeded workspace access and integrates imaging tools.
Nader Latifi Gharamaleki, Dong‐in Kim, Gyudong Lee, Jin‐Young Kim, Hongsoo Choi   +4 more
wiley   +1 more source

EEG dataset of consumer- and research-grade systems. [PDF]

Sci Data
Lee Y, Gwon D, Kim K, Park S, Sohn S, Choi M, Choi M, Bae JH, Ahn M.   +8 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced 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, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source