Results 121 to 130 of about 6,751,309 (310)
Effects of foreign presence and affiliate control on the productivity of domestic companies in a transition economy: the case of Polish manufacturing 1993-2002. [PDF]
No abstractNo keywords;
Pawlik, Konrad
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Noise-related Hearing Loss in Workers of a Thermal Reactor
Noise-related Hearing Loss in Workers of a Thermal ...
F Ceyda AKINOCAL +3 more
doaj
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Tuberculosis as Public Health Problem in the Slovak Republic
Tuberculosis as Public Health Problem in the Slovak ...
Martin SAMOHYL +5 more
doaj
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Challenges of Achieving Tuberculosis Elimination by ...
Salman KHAZAEI, Shahab REZAEIAN
doaj
The Appeal of British Sociology; a View from Outside and Inside [PDF]
[No abstract][No keywords]
Barbara Misztal
core
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source

