IEEE

Crowd Density Estimation Using Enhanced Multi-Column Convolutional Neural Network and Adaptive Collation

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 ...
Fox Business

Government shutdown blocks key GDP data release – what do the Fed's models say about economic growth?

The ongoing government shutdown delayed the release of the Commerce Department's initial estimate of the third-quarter gross domestic product (GDP), as other data sources suggest solid economic growth ...
GitHub

Electron density image–driven foundation models for organic materials property prediction

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 ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
Bloomberg L.P.

RBA Models Show Sharp Downgrade to Neutral Rate Estimate

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 ...
Frontiers

UAV-based estimation of post-sowing rice plant density using RGB imagery and deep learning across multiple altitudes

This study presents a novel and efficient approach to accurately assess post-sowing rice plant density by leveraging unmanned aerial vehicles (UAVs) equipped with high-resolution RGB cameras. In ...
Frontiers

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

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 ...
IEEE

LKVHAN: Multiscale Large Kernel Vertical-Horizontal Attention Network for Hyperspectral Image Classification

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 ...
GitHub

This is a Python implementation of the Kernel Plot Tool that generates SNP density and closest neighbor plots from FASTA files.

--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 ...
C&EN

Kernel-Based Modeling of Electron-Density Polarization at Metal–Liquid Interfaces

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 ...