Results 131 to 140 of about 4,913 (260)

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

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, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Seasonal Fluctuations of Plastochromanol‐8 and α‐Tocopherol Amounts in the Leaves of Cecropia Trees

Journal of the American Oil Chemists' Society, EarlyView.
ABSTRACT Plastochromanol‐8 (PC‐8) is a homologue of γ‐tocotrienol with a longer side chain (eight instead of three isoprene units) and therefore also a representative of the tocochromanol (vitamin E) group. PC‐8 has been determined in various plants and seeds, with Cecropia sp. leaves showing unusually high levels.
Rosalie Ormos, Jörg Rau, Walter Vetter
wiley   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source

Methodological Approach for Particle Transport: Analyzing Influential Factors and Comparing Simulation Software

Chemie Ingenieur Technik, EarlyView.
This study determines the dust filtration behavior of venting tubes in automotive headlights. Numerical simulations using Meshfree and STAR‐CCM+ and suitable experiments were conducted to analyze the airflow field, the particle transport, and the filtration efficiency.
Cornelia Müssig, Alexander Kabat vel Job, Stephan Knorr, Henning Meyer, Daniel Wiest   +4 more
wiley   +1 more source

Best-first search-based approach for mining top-k closed frequent itemsets from uncertain databases. [PDF]

PLoS One
Le N, Vo H, Nguyen T.
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C, Atefi K.
europepmc   +1 more source