Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...
Quanta Magazine

The Math That Explains Why Bell Curves Are Everywhere

The central limit theorem started as a bar trick for 18th-century gamblers. Now scientists rely on it every day.
IEEE

MPDA: Multivariate Probability Distribution Autoencoder for Hyperspectral Anomaly Detection

Abstract: In recent years, the significant success of deep learning (DL) in computer vision has contributed to its continuous development in the field of hyperspectral image (HSI) anomaly detection ...
IEEE

Long-Term Multivariate Forecasting of Quality Variables in Industrial Production Processes Based on a Hybrid Deep Learning Framework and Novel Flexible Sensor

Abstract: Accurate real-time prediction of key quality variables is critical for complex industrial processes like hydrocracking, where data exhibits multivariate nonlinearity, time delays, and ...