Results 121 to 130 of about 91,465,093 (245)
Frontiers in EducationIntroductionPrevious research employing latent profile analysis has considerably advanced our understanding of student motivation in online learning environments.
Romualda Rimasiute-Knabikiene +2 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
Generative AI in clinical practice: how should rheumatologists evaluate and monitor emerging tools?
Arthritis Care &Research, Accepted Article.Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale
CoRRThis work integrates peer-to-peer federated learning tools with NS3, a widely used network simulator, to create a novel simulator designed to allow heterogeneous device experiments in federated learning. This cross-platform adaptability addresses a critical gap in existing simulation tools, enhancing the overall utility and user experience.
Alka Luqman +2 more
openaire +2 more sources
SAGE Open NursingIntroduction Peer-assisted learning is widely used in nursing education and is reported to have a positive impact on the students’ learning process. However, students’ experiences of peer-assisted learning from midwifery clinical education in resource ...
Kristine S Kandingu MSc +1 more
doaj +1 more source
Stubbornness-Aware Peer-to-Peer Bayesian Federated Learning Over Graphs
IEEE Transactions on Machine Learning in Communications and NetworkingEdge devices such as sensors, vehicles, and industrial controllers often need to learn a shared predictive model without pooling raw data or relying on a central server, even when local data quality varies widely across devices.
Zengyan Tang +3 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Computer Assisted Self and Peer Assessment Ratings (CASPAR): Applications, Challenges and Opportunities [PDF]
This paper discusses the application of and challenges associated with CASPAR (Computer Assisted Self and Peer Assessment Ratings) – a software tool designed to aid the administration of self and peer assessment (SPA).
Lugosi, Peter
core +3 more sources