Infection control / Modes of transmission

Retrieval-augmented Generation for GenAI-enabled Semantic Communications

Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant semantic information to the receiver, which can significantly improve communication efficiency. Recent advancements in generative artificial intelligence (GenAI) have empowered GenAI-enabled SemCom (GenSemCom) to further expand its potential in various applications. However, current GenSemCom system...

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance

The collection of updated data on social contact patterns following the COVID-19 pandemic disruptions is crucial for future epidemiological assessments and evaluating non-pharmaceutical interventions (NPIs) based on physical distancing. We conducted two waves of an online survey in March 2022 and March 2023 in Italy, gathering data from a representative population sample on direct (verbal/physic...

Deep Joint Source Channel Coding for Privacy-Aware End-to-End Image Transmission

Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-to-end image transmission against multiple eavesdr...

TuneS: Patient-specific model-based optimization of contact configuration in deep brain stimulation

Objective: The objective of this study is to develop and evaluate a systematic approach to optimize Deep Brain Stimulation (DBS) parameters, address...

Assessing the effectiveness of test-trace-isolate interventions using a multi-layered temporal network

In the early stage of an infectious disease outbreak, public health strategies tend to gravitate towards non-pharmaceutical interventions (NPIs) giv...

Transmit What You Need: Task-Adaptive Semantic Communications for Visual Information

Recently, semantic communications have drawn great attention as the groundbreaking concept surpasses the limited capacity of Shannon's theory. Speci...

Grasp What You Want: Embodied Dexterous Grasping System Driven by Your Voice

In recent years, as robotics has advanced, human-robot collaboration has gained increasing importance. However, current robots struggle to fully and...

MiCull2 -- simulating mastitis transmission through milking order

Contagious mastitis pathogens can be transmitted through milking. However, previously published simulation models, such as MiCull, have not directly...

Pixel Intensity Tracking for Remote Respiratory Monitoring: A Study on Indonesian Subject

Respiratory rate is a vital sign indicating various health conditions. Traditional contact-based measurement methods are often uncomfortable, and al...

Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration

Human-object contact (HOT) is designed to accurately identify the areas where humans and objects come into contact. Current methods frequently fail ...

T-GMSI: A transformer-based generative model for spatial interpolation under sparse measurements

Generating continuous environmental models from sparsely sampled data is a critical challenge in spatial modeling, particularly for topography. Trad...

NormalFlow: Fast, Robust, and Accurate Contact-based Object 6DoF Pose Tracking with Vision-based Tactile Sensors

Tactile sensing is crucial for robots aiming to achieve human-level dexterity. Among tactile-dependent skills, tactile-based object tracking serves ...

Vision Transformer-based Semantic Communications With Importance-Aware Quantization

Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features throug...

Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image tra...

Action Recognition based Industrial Safety Violation Detection

Proper use of personal protective equipment (PPE) can save the lives of industry workers and it is a widely used application of computer vision in t...

PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images

Reliable large-scale data on the state of forests is crucial for monitoring ecosystem health, carbon stock, and the impact of climate change. Curren...

LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks

Backdoor attacks embed hidden associations between triggers and targets in deep neural networks (DNNs), causing them to predict the target when a tr...

Multi-scale phylodynamic modelling of rapid punctuated pathogen evolution

Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identify specific requirements for a new class of pandemi...

Deep Variational Bayesian Modeling of Haze Degradation Process

Relying on the representation power of neural networks, most recent works have often neglected several factors involved in haze degradation, such as...

Adaptive Personalized Over-the-Air Federated Learning with Reflecting Intelligent Surfaces

Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging the inherent superposition property of the wirele...