Abstract: Accurate crowd density estimation is essential for public safety operations, urban and transportation design and multiple intelligent systems. The research presents an improved Multi-Column ...
An image-only artificial intelligence (AI) model recently authorized by the FDA conferred more precise risk stratification in predicting the 5-year risk of breast cancer compared with ...
In this work, we establish ED images as a unified, physically informative representation for organic materials modeling. By capturing electron distributions, ED images enable the model to learn ...
The Reserve Bank of Australia’s model of the neutral cash rate implies a “significant downward revision” to its estimates while the job market is seen as tighter than previously thought, according to ...
Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
The scale provided by systems such as Frontier is pretty much a necessity to do calculations like this, both in terms of parallel computational capacity and storage. It would take many millennia to ...
Abstract: Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely ...
--lineage=NAME Specify lineage (optional) --outputdir=DIR Output directory (default: creates folder next to input file) --density-xlim=N Density plot X-axis limit (default: 1400) --neighbor-xlim=N ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00129. Notes on the functional form of reorganization energy and ...
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