Results 181 to 190 of about 6,522,305 (296)
FRLTC: A new topology control algorithm using federated reinforcement learning for software-defined wireless sensor network in IoT. [PDF]
Binh LH, T Duong TV, Le DH.
europepmc +1 more source
ABSTRACT Brazil's Unified Health System (Sistema Único de Saúde, SUS) represents one of the world's largest universal health systems and provides a unique real‐world platform for integrating prevention, diagnosis, treatment, and survivorship across the cancer continuum.
Leonardo Oliveira Reis
wiley +1 more source
Adaptive Control of Lower-Limb Assistive Exoskeleton for Rehabilitation Using Deep Reinforcement Learning. [PDF]
Foroutannia A +2 more
europepmc +1 more source
A Framework for Impression Management in Extra‐Financial Reporting
ABSTRACT This paper examines how organisations employ impression management tactics in extra‐financial reporting, particularly in the context of environmental, social and governance (ESG) concerns. As stakeholder scrutiny and regulatory expectations intensify, organisations increasingly shape non‐financial disclosures to influence perceptions of ...
Laura Ribeiro +3 more
wiley +1 more source
Teaching diffusion models physics: reinforcement learning for physically valid diffusion-based docking. [PDF]
Broster JH +4 more
europepmc +1 more source
ABSTRACT Objective Enhanced Cognitive Behavior Therapy (CBT‐E) is the leading outpatient treatment for eating disorders but is typically delivered by a single clinician and does not routinely incorporate interprofessional expertise. In broader healthcare settings, Interprofessional collaborative practice (IPCP), characterized by role clarity, shared ...
Megan Bray +4 more
wiley +1 more source
Applications of Reinforcement Learning for Autonomous Surgical Robotics: A Systematic Review. [PDF]
Shahid M +7 more
europepmc +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
The HydroGym reinforcement learning platform for fluid dynamics. [PDF]
Lagemann C +20 more
europepmc +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source

