Results 71 to 80 of about 155,604 (315)
Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Journal of King Saud University: Computer and Information SciencesRecently, Vision Transformers (ViTs) have gained increasing attention. Research shows the ViT models perform well on large datasets. Yet, high computation limits their deployment on low-resource devices.
Yalong Liu +6 more
doaj +1 more source
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 +2 more
wiley +1 more source
A foundation model for rock thin-section images analysis
Communications EngineeringRock thin-section image analysis is a fundamental task in geological and mineralogical research. Traditional methods rely on visual inspection by experts using optical microscopes, which are inherently subjective, experience-dependent, and time-consuming.
Jiansong Fan +8 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Multi‐strategy Grey Wolf Optimizer for Engineering Problems and Sewage Treatment Prediction
Advanced Intelligent SystemsGrey wolf optimizer (GWO) is a highly valued heuristic algorithm in many fields. However, for some complex problems, especially high‐dimensional and multimodal problems, the basic algorithm has limited computational power and cannot get a satisfactory ...
Chenhua Tang +6 more
doaj +1 more source
Sub-Connection Learning for fMRI-Based Brain Functional Network
IEEE Transactions on Neural Systems and Rehabilitation EngineeringBrain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI).
Hui Huang +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
, 1994 This paper presents the experience of teaching an Artificial Intelligence course at the Faculty of Computer Science in the Polytechnic University of Madrid, Spain.
Juristo, N., Gómez-Pérez, A.
core
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
, 2021 © 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Simulators are being increasingly used to train agents before deploying them in real-world environments.
Ramakrishnan, Ramya +5 more
core +1 more source