Results 141 to 150 of about 2,863,239 (299)
Advanced Intelligent Systems, EarlyView.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
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
, 2018 The paper is related to the problem of data integration in the Semantic Web and is a continuation of the previously published works, which was dedicated to the creation of mappings from the description logic (DL) into binary relational data model.
Chystiakova, I.S., Reznichenko, V.A.
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Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
Advanced Intelligent Systems, EarlyView.To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
Advanced Intelligent Systems, EarlyView.A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Dynamic time series binary choice [PDF]
This paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors.
Robert M. de Jong, Tiemen Woutersen
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American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
Industrial relations in the public sector
, 1982 This paper has been written primarily for students enrolled in the Certificate course in Industrial Relations offered by the Industrial Relations Centre of Victoria University.
Randle, D. N. L.
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Australian Journal of Social Issues, EarlyView.ABSTRACT The Australian paid parental leave (PPL) government scheme aims to support working parents through financial assistance and the promotion of gender equality in caregiving responsibilities. However, the scheme's implementation has been critiqued for its gendered design, which marginalises fathers and reinforces traditional gender roles.
Lily Lewington +2 more
wiley +1 more source
A game of composing binary relations [PDF]
RAIRO. Informatique théorique, 1982 Pavel Goralcik +3 more
openaire +2 more sources