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

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 ...
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 Intelligence (AI) framework, which is designed for the n ...
IEEE

Hybrid Encoder Decoder Model for Image Captioning Using Deep Learning

Abstract: The process of automatically generating descriptive captions for images has become an increasingly important research area that lies at the intersection of computer vision and natural ...