Scarcity-Coefficient Gated Projection Reinforcement Learning for Planning-Layer Capacity Activation in Emergency Wireless Networks. [PDF]
Ma J, Liu P, Ma H, Lu G, Zhang Y.
europepmc +1 more source
Abstract Posttraumatic stress disorder (PTSD) and depression are common diagnoses following traumatic events, with several available evidence‐based interventions to reduce symptomology. However, trauma populations face significant access barriers that limit their adoption and reach.
Leigh E. Ridings +3 more
wiley +1 more source
A vibration control method for chatter mitigation in milling process based on sliding mode control and reinforcement learning. [PDF]
Paul S.
europepmc +1 more source
DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau +11 more
wiley +1 more source
Reinforcement learning personalized instruction for psychological engagement self-regulated learning motivation and performance in professional English education. [PDF]
Peiyao L.
europepmc +1 more source
ABSTRACT This study introduces the Paradox of Escapism, exploring how the act of escaping reality can evolve from a short‐term avoidance strategy to a mechanism for self‐regulation and enhanced life satisfaction. Employing five rigorous, multimethod investigations, including qualitative interviews and sentiment analysis (Study 1), Structural Equation ...
Thamiris Magalhães de Sousa +3 more
wiley +1 more source
Adaptive fuzzy-reinforcement framework for real-time task scheduling and resource optimization in medical edge computing. [PDF]
Wei X, Huang H, Wang Y.
europepmc +1 more source
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley +1 more source
Dynamic Traffic Signal Control for Isolated Intersections: Enhanced SARSA Reinforcement Learning with Expectation Prediction and Eligibility Traces. [PDF]
Gao Y, Sun W, Jian M, Zhang Z, Yan Z.
europepmc +1 more source
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley +1 more source

