Personalized multi-agent reinforcement learning framework for adaptive chronic disease therapy management. [PDF]
Ahmad F, AlGhamdi R.
europepmc +1 more source
Teaching Data Science to Diverse Learners: A Hybrid and Interdisciplinary Approach
Abstract This paper describes the development and delivery of an introductory data science course designed for interdisciplinary master's students studying in a hybrid format, without advanced mathematics prerequisites. The course addresses the increasing need for data science skills among non‐specialists, preparing them to tackle real‐world challenges.
Stuart King, Serveh Sharifi Far
wiley +1 more source
MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization. [PDF]
Rigoni D, Sperduti A, Moro S.
europepmc +1 more source
Abstract Active learning (AL) has emerged as a pedagogical response to diverse educational challenges across multiple disciplines. This scoping review maps the terrain of AL implementation patterns, examining AL practices in Business Education, Information and Communication Technology (ICT) Engineering, Mathematics, and Statistics from 2015 until the ...
Dubravka Novkovic +2 more
wiley +1 more source
Feasibility of Employing Semi-Hard Magnetic Materials for Hysteresis Magnetic Clutches in Railway Systems. [PDF]
Pistelok P, Adamiak M.
europepmc +1 more source
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley +1 more source
Tele-Rehabilitation and Tele-Diagnostics in Shoulder Disorders: Current Evidence, Challenges, and Future Directions-A Narrative Review. [PDF]
Todorović P +4 more
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study. [PDF]
McCrudden KE +4 more
europepmc +1 more source
Measuring Cognitive Load Index in Online Learning: A Multi‐Modal Approach
ABSTRACT Background Online learning has become increasingly prominent in education, necessitating a deeper understanding of its impact on students' cognitive load (CL). Existing studies often focus on single data sources and overlook multimodal assessments, limiting a deeper understanding of how CL and emotional states manifest and interact during ...
Fatema Rahimi +5 more
wiley +1 more source

