Abstract: Unsupervised person ... to reduce noise in global feature clustering. However, these methods often compromise the discriminative semantic structure and overlook the semantic consistency ...

We leveraged deep-learning based unsupervised analysis of 583,237 vocalizations to show that ... (C) Example random sample matrix of vocalizations with spectral flatness <0.3. Four false positives ...

These findings position the Mongolian gerbil as a compelling animal model to study the neural basis of vocal communication and demonstrates the potential for using unsupervised machine learning with ...

A small academic competition on an interdisciplinary track, the goal is to classify agricultural bloggers on a short video platform based on data crawled.

Due to the variability and unpredictability of solar power, which relies heavily on weather variables such as solar irradiance and temperature, precise forecasting of photovoltaic (PV) energy ...

The vast majority of these methods focus on learning domain-invariant features from multiple source domains, with very few considering the more realistic scenario of a single source domain.

Small drones leverage the Internet of Things (IoT) to deliver location-based navigation ... investigated an unsupervised learning-driven approach to detect active eavesdropping within UAV networks.

Max Verstappen, Pierre Gasly, George Russell, Hulkenberg, Fernando Alonso, Valtteri Bottas and Sergio Perez complete the top 10 on the grid. Yuki Tsunoda will lead the charge to make the top 10 ...

Learn about gender-based violence, who it affects and how it’s defined to help build a safer Canada for all. Everyone has the right to live free from violence. However, many people in Canada continue ...