Results 151 to 160 of about 6,336,923 (296)
Learning to Continually Learn with the Bayesian Principle
CoRRIn the present era of deep learning, continual learning research is mainly focused on mitigating forgetting when training a neural network with stochastic gradient descent on a non-stationary stream of data. On the other hand, in the more classical literature of statistical machine learning, many models have sequential Bayesian update rules that yield ...
Soochan Lee +3 more
openaire +3 more sources
Re‐humanizing anatomy? Learning through human body donors in physiotherapy education
Anatomical Sciences Education, EarlyView.Abstract Anatomical knowledge underpins clinical skills and professional identity in physiotherapy. However, dedicated teaching has declined in recent years. Body donor‐based learning, though common in medical education, is rarely used in physiotherapy.
Robert Parish +3 more
wiley +1 more source
DUAL3D-Fed: Dual Distillation for 3D Continual Federated Learning With Vision–Language Models
IEEE AccessContinual Federated Learning (CFL) for 3D object classification requires learning generalizable representations across distributed clients while maintaining feature-space consistency as new classes emerge.
Kaushik Roy +2 more
doaj +1 more source
Continual Anomaly Detection for the Medical Imaging Domain
openIl Continual Learning (CL) rappresenta una sfida cruciale nel campo dell’intelligenza artificiale, affrontando la necessità di sviluppare modelli di apprendimento in grado di adattarsi a nuovi compiti e dati senza dimenticare le conoscenze ...
BEDA, NICOLA
core
Interactive pathology teaching on Instagram: Engagement outcomes from a 4‐week pilot study
Anatomical Sciences Education, EarlyView.Abstract Social media is increasingly employed for medical education, yet Instagram remains under‐explored for visually rich disciplines, such as pathology. Using an established Instagram profile (@Patholife, >6000 followers), we delivered a structured, interactive educational series covering colorectal cancer, melanoma, and prostate cancer over a 4 ...
Madison T. Hindes +2 more
wiley +1 more source
Stability-Controlled Continual Federated Learning for Energy-Harvesting AIoT Systems
SensorsEnergy-harvesting (EH) AIoT systems enable long-term autonomous operation but suffer from time-varying energy availability, which makes stable learning difficult.
Junsoo Park, Ikjune Yoon, Dong Kun Noh
doaj +1 more source
Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million +3 more
wiley +1 more source
SensorsThe extensive deployment of quadrotors in complex environmental missions has revealed a critical challenge: degradation of trajectory tracking accuracy due to time-varying wind disturbances.
Yanhui Liu +3 more
doaj +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
Continual Learning in Medical Image Analysis: Appropriate Use and Lifecycle Governance
Journal of the Korean Society of RadiologyAI models for medical imaging are typically trained once and deployed unchanged; however, as scanners, protocols, and patient populations continue to evolve, model performance may degrade over time.
Min Kyoon Yoo, Yu Rang Park
doaj +1 more source