Latest AI and machine learning research in public health & policy for healthcare professionals.
The aim of this study was to devise a machine learning algorithm with superior performance in predic...
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...
This research paper presents an innovative ship detection system tailored for applications like ma...
Effective epidemic modeling is essential for managing public health crises, requiring robust metho...
Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease ...
Aiming to match pedestrian images captured under varying lighting conditions, visible-infrared per...
The increasing frequency of firearm-related incidents has necessitated advancements in security an...
High quality and high speed videography using Non-Line-of-Sight (NLOS) imaging benefit autonomous ...
The rapid growth of social media has led to the widespread sharing of individual portrait images, ...
Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...
This paper investigates the critical issue of data poisoning attacks on AI models, a growing conce...
In this paper, we explore the application of ensemble optimal control to derive enhanced strategie...
As recent text-conditioned diffusion models have enabled the generation of high-quality images, co...
Background: Multiple medical and non-medical stressors, along with the complicity of their exposur...
Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Ea...
In the face of intensified datafication and automation in public sector industries, frameworks lik...
Textual data from social platforms captures various aspects of mental health through discussions a...
Image restoration under adverse weather conditions refers to the process of removing degradation c...
One of the basic requirements of humans is clothing and this approach aims to identify the garment...
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...