Estimating Exercise-Induced Fatigue from Thermal Facial Images
Exercise-induced fatigue resulting from physical activity can be an early indicator of overtraining, illness, or other health issues. In this paper, we […]
Metasurface-Based Receivers with 1-bit ADCs for Multi-User Uplink Communications
The massive Multiple-Input Multiple-Output (mMIMO) concept has been recently moving forward to extreme scales to address the envisioned requirements of next generation […]
Near-Field Localization with 1-bit Quantized Hybrid A/D Reception
In this paper, we consider a hybrid Analog and Digital (A/D) receiver architecture with an extremely large Dynamic Metasurface Antenna (DMA) and […]
Bypassing input to V1 in visual awareness: A TMS-EROS investigation
Early visual cortex (V1–V3) is believed to be critical for normal visual awareness by providing the necessary feedforward input. However, it remains […]
Near-Field MIMO Channel Reconstruction Via Limited Geometry Feedback
Near-field MIMO channels comprising line-of-sight (LoS) dominant paths can be fully described by the angle of arrivals (AoAs) and the rotation angles […]
Sparse Resultant-Based Minimal Solvers in Computer Vision and Their Connection with the Action Matrix
Many computer vision applications require robust and efficient estimation of camera geometry from a minimal number of input data measurements. Minimal problems […]
Unlocking Exceptional CO2 Reduction Selectivity at Neutral Conditions: A First-Principles Study on Chlorinated Single Iron Doped Graphitic Carbon Nitride
The electrochemical reduction of carbon dioxide (CO2RR) to useful fuels and chemicals using renewable energy sources presents a promising strategy for addressing […]
A Meta-DDPG Algorithm for Energy and Spectral Efficiency Optimization in STAR-RIS-Aided SWIPT
This letter studies a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted wireless system where a multi-antenna base station (BS) transmits both […]
Sorting Convolution Operation for Achieving Rotational Invariance
The topic of achieving rotational invariance in convolutional neural networks (CNNs) has gained considerable attention recently, as this invariance is crucial for […]
Toward Supporting Holographic Services Over Deterministic 6G Integrated Terrestrial and Non-Terrestrial Networks
Driven by the emerging mission-critical applications, the need for the deterministic networking (DetNet) capabilities of the current network infrastructure is becoming increasingly […]