Art as a source of historical biodiversity data. [PDF]
Liu J, Davis C.
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Optimizing augmented reality for visual communication design and user experience in public Art to support sustainable engagement. [PDF]
Al Qwaid M, Sarker MT, Karim HA.
europepmc +1 more source
Terrestrial Cyborg Insects for Real‐Life Applications
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source
PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings. [PDF]
Van Horn A +12 more
europepmc +1 more source
Optical Flow Enables Hand Tracking With EyeGlove Low‐Cost Cameras in Confined Environments
A cost‐effective (<£150) hand‐wearable stereo vision system, EyeGlove, is proposed to support visual inspection in confined environments. The system integrates disjointed low‐cost cameras to enable dexterous camera manipulation and wearable display unit for real‐time interaction.
Erhui Sun +3 more
wiley +1 more source
Art as a multiplier of science communication. [PDF]
German J +6 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Time to incidence of tuberculosis and its predictors among adult HIV/AIDS patients who initiated ART by the Universal Test and Treat approach in Silte Zone, Ethiopia, 2023. [PDF]
Sherfa A +9 more
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source

