While both China and the United States have humanoid production capabilities, only China possesses a fully integrated ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Algorithms are everywhere, even when we do not notice them. They help us search the web, navigate roads, and discover new content online. Understanding how algorithms work is one of the simplest ways ...

Chinese aerospace researchers are actively developing precision landing control systems for tailless flying-wing aircraft designed to operate from aircraft carriers, according to peer-reviewed papers ...

Data clustering and classification have become indispensable for extracting actionable insights from large-scale, heterogeneous datasets characterised by high volume, velocity and variety. Clustering ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ABSTRACT: This work describes a data integration model using the Statistical Matching methodology (hot deck distance) to integrate two surveys conducted by ISTAT (EU-SILC) and the Bank of Italy ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

Abstract: Correlation clustering (CC) groups objects together based on pairwise relationships (either positive or negative). The CC objective is to minimize the number of negative relationships ...

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...