RETRACTED: Wee et al. Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques. <i>Int. J. Environ. Res. Public Health</i> 2022, <i>19</i>, 7384. [PDF]
Wee CK+6 more
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Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications
This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo+4 more
wiley +1 more source
Detection and classification of ChatGPT-generated content using deep transformer models. [PDF]
Maktabdar Oghaz M+3 more
europepmc +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly+4 more
wiley +1 more source
Publisher Correction: Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches. [PDF]
Nahin KH+9 more
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Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal+5 more
wiley +1 more source
Evolution Trend of Brain Science Research: An Integrated Bibliometric and Mapping Approach. [PDF]
Zhang S, Gu J, Yang Y, Li J, Ni L.
europepmc +1 more source
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal+2 more
wiley +1 more source
Datawiz-IN: fostering representative innovation in health data science-outcomes from a summer research experience. [PDF]
Afreen S+3 more
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