Results 191 to 200 of about 698,173 (286)

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

Advanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li, Haoyu Tang, Jun Zhu, Fang Fang Gou, Jia Wu   +4 more
wiley   +1 more source

Autoantibodies as predictors of progression to rheumatoid arthritis: a systematic review and meta-analysis. [PDF]

RMD Open
Qureshi S, Adas M, Cope PJ, Mahfouz H, Bechman K, Deane KD, El-Gabalawy H, Emery P, Finckh A, Gilbert BTP, Holers VM, Isaacs JD, Kastbom A, Mankia K, Mikuls TR, Pratt AG, Rech J, Russell MD, Schett G, Trouw LA, Turesson C, Beers-Tas MHV, van der Helm-van Mil AHM, van Schaardenburg D, van Steenbergen HW, Toes REM, Cope AP, Galloway J, Norton S.   +28 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

How does 'autistic burnout' feel? A qualitative study exploring experiences of earlier and later-diagnosed autistic adults. [PDF]

Autism
Ali D, Mandy W, Happé F.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Antioxidation is a Common Defense Strategy for Different Species Under Mechanical Stress. [PDF]

Adv Genet (Hoboken)
Zhu F, Huang K.
europepmc   +1 more source

Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter

Advanced Intelligent Systems, EarlyView.
This article introduces an input sparsity‐aware computing‐in‐memory macro featuring novel bidirectional conversion‐skippable analog‐to‐digital converters. By dynamically adjusting resolution based on element‐level sparsity, the architecture skips redundant most significant bit and least significant bit conversions.
Choongseok Song, Yonguk Sim, Doo Seok Jeong   +2 more
wiley   +1 more source

Development and Validation of the Brief Support Group Leader Self-Efficacy Scale Among Scleroderma Peer Support Group Leaders. [PDF]

ACR Open Rheumatol
Provencher S, Harel D, Henry RS, Carrier ME, Dyas L, Konrad V, Hudson M, Thombs BD, SPIN‐SSLED Support Group Advisory Team.   +8 more
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

How Do Culturally and Racially Marginalised (CaRM) Populations in Australia Cope with the Mental Health Impacts from "New Racism"? A Qualitative Descriptive Study. [PDF]

Nurs Rep
Lim E, Potla S, Dantas J, Hamamura T, Dovchin S, Dryden S, Tankosić A.   +6 more
europepmc   +1 more source