Scientific Research Publishing

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

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily ...
IEEE

Benchmarking Encoders and Self-Supervised Learning for Smartphone-Based Human Activity Recognition

Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...
IEEE

Enhanced Sequence-to-Sequence NILM Learning using Convolution Variational Auto-Encoders

Abstract: Non-Intrusive Load Monitoring (NILM) is a promising approach for energy disaggregation, enabling the identification of appliance-specific energy consumption from aggregated electrical ...
TMCnet

NetAirus Technologies Launches Panatem™ an Industry-First World-Model Artificial Intelligence Framework for Augmented Reality Headsets

NetAirus Technologies, a pioneer in electro-optical systems, today announced the introduction of the Panatem™ Artificial ...