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 ...
IEEE

Multivariate Fractal Autoencoder (MFAE): Sparse Sensor Placement via Cross-Variable Synergy for Ocean Data Reconstruction

Abstract: Optimizing sensor placement is crucial for enhancing the coverage and data-acquisition efficiency of ocean monitoring systems. Traditional approaches primarily rely on univariate ocean data ...
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 ...