Results 141 to 150 of about 1,578 (183)
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
AI‐assisted identification of stromatoporoids
AI models integrating vertical and transverse thin‐section images accurately classify Silurian stromatoporoid taxa, achieving up to 97% accuracy. This dual‐orientation framework mirrors traditional taxonomy, reveals patterns of morphological continuity, and provides a scalable, quantitative approach for advancing automated fossil identification ...
David Rodríguez González +3 more
wiley +1 more source
MultiRetNet: A Lightweight Explainable AI Approach to Diabetic Retinopathy Grading and DME Detection Using Fundus-OCT Fusion. [PDF]
Islam S +4 more
europepmc +1 more source
Time‐Aware UNet and Super‐Resolution Deep Residual Networks for Spatial Downscaling
ABSTRACT Satellite observations of atmospheric pollutants are often available only at coarse spatial resolution, which limits their use in local‐scale environmental analysis. Spatial downscaling methods aim to transform such data into high‐resolution fields.
Mika Sipilä +5 more
wiley +1 more source
Parallel Lossless Compression of Raw Bayer Images on FPGA-Based High-Speed Camera. [PDF]
Regoršek Ž, Gorkič A, Trost A.
europepmc +1 more source
The Role of Coincident Information in Real‐Time Business Cycle Forecasting
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley +1 more source
Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO. [PDF]
Xu Z +12 more
europepmc +1 more source
Multi‐fidelity Monte Carlo fusion for BNCT dose calculation using a dual‐branch network
Abstract Background Boron neutron capture therapy (BNCT) is a binary radiotherapy that selectively kills tumor cells. Its clinical implementation relies on Monte Carlo (MC)‐based treatment planning systems, which are time‐consuming and limit clinical workflow efficiency.
Leiming Li +7 more
wiley +1 more source
Efficient fusion transformer model for accurate classification of eye diseases. [PDF]
Lin A.
europepmc +1 more source
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman +3 more
wiley +1 more source

