Latest AI and machine learning research in public health & policy for healthcare professionals.
The rapid development of artificial intelligence poses a huge impact on health and has become a core...
This study investigates the mechanisms of Surveillance Capitalism, focusing on personal data trans...
Anxiety and depression are the most common mental health issues worldwide, affecting a non-negligi...
Facial expressions convey human emotions and can be categorized into macro-expressions (MaEs) and ...
The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-C...
In the early stage of an infectious disease outbreak, public health strategies tend to gravitate t...
Large-scale crises, including wars and pandemics, have repeatedly shaped human history, and their ...
Many surveillance cameras switch between daytime and nighttime modes based on illuminance levels. ...
The rapid growth of remote healthcare delivery has introduced significant security and privacy ris...
Visual-based human action recognition can be found in various application fields, e.g., surveillan...
Compact UAV systems, while advancing delivery and surveillance, pose significant security challeng...
Accurately modeling and analyzing time series data is crucial for downstream applications across v...
The global outbreak of the Mpox virus, classified as a Public Health Emergency of International Co...
Since the outbreak of the COVID-19 pandemic in 2019, medical imaging has emerged as a primary moda...
Predictive machine learning (ML) models are computational innovations that can enhance medical dec...
This project aims to develop a robust video surveillance system, which can segment videos into sma...
Computational multi-scale pandemic modelling remains a major and timely challenge. Here we identif...
Accurate prediction of medical conditions with straight past clinical evidence is a long-sought to...
Cyber-attacks pose a security threat to military command and control networks, Intelligence, Surve...
Accurate barcode detection and decoding in Identity documents is crucial for applications like sec...
Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillanc...