Results 171 to 180 of about 287,776 (265)
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Research advances in physical activity and insomnia: a bibliometric and thematic evolution analysis. [PDF]
Chen J, Wang S, Zhang Y.
europepmc +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Research on Cattle Feeding and Nutrition in Relation to Animal Welfare: A Bibliometric Analysis. [PDF]
Herrera AM, Ponce E, Mora-Luna RE.
europepmc +1 more source
Holistic Thematic Learning in the Elementary School: Is It Thematic and Holistic? [PDF]
openaire +1 more source
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
Discrimination Against Women in Sport: A Scopus-Based Bibliometric Analysis (1995-2026). [PDF]
Wilson V +6 more
europepmc +1 more source
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley +1 more source
Charting the Development of Robot-Assisted Social-Emotional Learning: Mapping Its Intellectual Foundations, Thematic Foci, and Evolution. [PDF]
Cui W +6 more
europepmc +1 more source
Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley +1 more source

