Cross perspective AFF-CNN-HTransformer target recognition matching of satellite and UAV aerial images. [PDF]
Cheng L, Xu J.
europepmc +1 more source
Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions. [PDF]
Bistroń M, Piotrowski Z.
europepmc +1 more source
Utility of local capillary supply indices: Insights from computational image‐based modelling
Abstract figure legend Local capillary distribution and fibre geometry influence oxygen availability in skeletal muscle. Image‐based modelling of tissue PO2${{P}_{{{{\mathrm{O}}}_2}}}$ shows that area‐based measures of capillary supply – the local capillary density (LCDi) and local maximum diffusion distance (Dmax,i) – most accurately represent the ...
Abdullah A. Al‐Shammari +6 more
wiley +1 more source
Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach. [PDF]
Shah V, Kreif N.
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Intelligent path control of autonomous AGVs in flexible manufacturing systems: a reinforcement learning approach. [PDF]
Umakarthikeyan S, Priyadharshini S.
europepmc +1 more source
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Adaptive fuzzy neural super-twisting control of micro gyroscope sensor. [PDF]
Xie J, Fei J.
europepmc +1 more source
Alignment of the Starlings: Learning With Generative AI
ABSTRACT I will argue that answers to normative questions concerning the place of generative AI in learning rest on answers to ontological questions regarding (1) precisely what is happening when a human ‘interacts’ with generative AI and (2) What is distinctive about organic learning as opposed to currently existing ‘machine learning’ (3) What is the ...
Sean Watson
wiley +1 more source
CNN-Transformer gated fusion network for medical image super-resolution. [PDF]
Qin J, Xiong J, Liang Z.
europepmc +1 more source

