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 ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
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 ...
Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...
The terms Agile and estimations don't align perfectly. Agile is all about responding to change rather than following a plan, while accurate estimations require a fixed plan that doesn't change. It's a ...
Density estimation methods often involve kernels, but there are advantages to using splines. Especially if the shape of the density is known to be decreasing, or unimodal, or bimodal, or if the ...
Parts of Asia and various small island nations are among the most densely populated countries in the world, according to data from the World Bank. The findings, mapped by Newsweek, show that while ...
Density in cities is often touted as a positive and desirable way to live. Various studies have repeatedly suggested that higher density can lead to better lifestyles, a more sustainable environment, ...
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