Digital-care in next generation networks
Digital healthcare applications are part of the Industry 4.0 which is based on smart devices and trustworthy communications technology. The concept of […]
Dual-Band Dual-Polarized Planar Antenna for 5G Millimeter-Wave Antenna-in-Package Applications
This article presents a dual-band, dual-polarized antenna operating from 24 up to 40 GHz at 5G new radio (NR) millimeter-wave (mm-Wave) Frequency […]
A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial intelligence paradigm, where over-the-air computation enables spectral-efficient model aggregation by achieving simultaneous […]
Secure Beamforming in Multi-User Multi-IRS Millimeter Wave Systems
We study the secrecy rate maximization problem in a millimeter wave (mmWave) network, consisting of a base station (BS), multiple intelligent reflecting […]
Highly Selective H₂S Gas Sensor Based on Ti₃C₂Tₓ MXene–Organic Composites
Cost-effective and high-performance H₂S sensors are required for human health and environmental monitoring. 2D transition-metal carbides and nitrides (MXenes) are appealing candidates […]
Depression Recognition using Remote Photoplethysmography from Facial Videos
Depression is a mental illness that may be harmful to an individual’s health. The detection of mental health disorders in the early […]
Alterations in working memory maintenance of fearful face distractors in depressed participants
Task-irrelevant threatening faces (e.g., fearful) are difficult to filter from visual working memory (VWM), but the difficulty in filtering non-threatening negative faces […]
Mobile Augmented Reality
Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR […]
IDADET
In the era of big data, the unprecedented growth of data has been regarded as an important asset and the commercial application […]
Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features
In the task of modeling user preferences for movie recommender systems, recent research has demonstrated the benefits of describing movies with their […]