Multi-Source AoI-Constrained Resource Minimization under HARQ: Heterogeneous Sampling Processes
We consider a multi-source hybrid automatic repeat request (HARQ) based system, where a transmitter sends status update packets of random arrival (i.e., […]
A mathematical characterization of minimally sufficient robot brains
This paper addresses the lower limits of encoding and processing the information acquired through interactions between an internal system (robot algorithms or […]
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly […]
Coupling machine learning and physical modelling for predicting runoff at catchment scale
In this paper, we present an approach that combines data-driven and physical modelling for predicting the runoff occurrence and volume at catchment […]
Non-contact multimodal indoor human monitoring systems: A survey
Indoor human monitoring systems are integral in various applications. They leverage a wide range of sensors, including cameras, radio devices, and inertial […]
RIS Phase Optimization via Generative Flow Networks
This letter introduces a new Machine Learning (ML) technique to learn phase shifting patterns for Reconfigurable Intelligent Surfaces (RISs). We leverage the […]
Facial Micro-Expressions: An Overview
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Facial Micro-Expressions
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Performance Analysis of ML-Based MTC Traffic Pattern Predictors
Prolonging the lifetime of massive machine-type communication (MTC) networks is key to realizing a sustainable digitized society. Great energy savings can be […]
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
To meet the growing mobility needs in intra-city transportation, the concept of urban air mobility (UAM) has been proposed in which vertical […]