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 […]
IDADET
In the era of big data, the unprecedented growth of data has been regarded as an important asset and the commercial application […]
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 […]
Hybrid recommendation by incorporating the sentiment of product reviews
Hybrid recommender systems utilize advanced algorithms capable of learning heterogeneous sources of data and generating personalized recommendations for users. The data can […]
Neural signatures for the n-back task with different loads
The n-back task is widely used in working memory (WM) research. However, it remains unclear how the electrophysiological correlates of WM processes, […]