Results 181 to 190 of about 29,899 (257)
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
Thematic characteristics and research hot-spots of China's healthy aging policy: topic modeling study. [PDF]
Han J +7 more
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Underrepresented transition factors from social sciences in energy and emissions modeling
Kunnas S, Trutnevyte E.
europepmc +1 more source
Grassroots circularity in Bologna: rethinking circular economy pathways for socio-ecological transition. [PDF]
Landi A, Lucertini M, Cappellaro F.
europepmc +1 more source
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Research on the path of high-quality development of the smart health and aging care industry driven by digital economy- dynamic QCA analysis based on TOE framework. [PDF]
Tan X, Shu X.
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
Research on industrial internet platforms empowering carbon emission efficiency improvement in manufacturing: based on digital technology availability. [PDF]
Qin H, Shi H, Zhang H, Luo D.
europepmc +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source

