Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Tactile sensing is critical in advanced interactive systems by emulating the human sense of touch ...
Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant ...
The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...
Deep neural network (DNN)-based joint source and channel coding is proposed for privacy-aware end-...
Objective: The objective of this study is to develop and evaluate a systematic approach to optimiz...
In the early stage of an infectious disease outbreak, public health strategies tend to gravitate t...
Recently, semantic communications have drawn great attention as the groundbreaking concept surpass...
In recent years, as robotics has advanced, human-robot collaboration has gained increasing importa...
Contagious mastitis pathogens can be transmitted through milking. However, previously published si...
Respiratory rate is a vital sign indicating various health conditions. Traditional contact-based m...
Human-object contact (HOT) is designed to accurately identify the areas where humans and objects c...
Generating continuous environmental models from sparsely sampled data is a critical challenge in s...
Tactile sensing is crucial for robots aiming to achieve human-level dexterity. Among tactile-depen...
Semantic communications provide significant performance gains over traditional communications by t...
In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semant...
Proper use of personal protective equipment (PPE) can save the lives of industry workers and it is...
Reliable large-scale data on the state of forests is crucial for monitoring ecosystem health, carb...
Backdoor attacks embed hidden associations between triggers and targets in deep neural networks (D...
Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identif...
Relying on the representation power of neural networks, most recent works have often neglected sev...
Over-the-air federated learning (OTA-FL) unifies communication and model aggregation by leveraging...