Finite horizon semi-Markov decision processes with application to maintenance systems
This paper investigates finite horizon semi-Markov decision processes with denumerable states. The optimality is over the class of all randomized history-dependent policies which include states and also planning horizons, and the cost rate function is ...
Huang, Yonghui, Guo, Xianping
core
ABSTRACT Background Artificial intelligence (AI) is increasingly used in health care. We systematically reviewed evidence on the accuracy of AI in detecting neonatal seizures. Methods We searched PubMed and CENTRAL (covering Medline, EMBASE, CINAHL and trial registries) (29 December 2025) for studies that evaluated the use of all AI applications for ...
Nai Ming Lai +8 more
wiley +1 more source
A methodological analysis of systematic reviews of cost-effectiveness in screening, diagnosis, and treatment of colorectal cancer. [PDF]
Velásquez MA, Bachelet VC.
europepmc +1 more source
We present the first phylogenetic analysis of the Californian species of Myosurus. Our ddRADseq analysis reveals considerably more diversity than what was recognized in recent floristic treatments. Myosurus minimus subsp. apus was found to be a rare species restricted to Southern California and northwestern Baja California.
R. Douglas Stone +2 more
wiley +1 more source
Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
A dynamic evaluation method for ethical awareness in metaverse-based educational environments using hybrid Bayesian sequential models. [PDF]
Yang B, Zhang X, Li C, Wu Y.
europepmc +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source
Motion Planning-Augmented Hierarchical Reinforcement Learning for Long-Horizon Mobile Manipulation. [PDF]
Kim H, Choi MT.
europepmc +1 more source
Word Predictability as a Measure of Second Language Proficiency
Abstract This study introduces predictabilityBERT, a novel metric for assessing second language (L2) proficiency based on the predictability of word choices in learner language production. Using BERT (Devlin et al., 2019), we calculated the conditional probability of each word in a text given its surrounding context.
Langdon Holmes +3 more
wiley +1 more source

