Latest AI and machine learning research in surveillance for healthcare professionals.
Small object detection (SOD) is a critical yet challenging task in computer vision, with applicati...
Automated one-to-many (1:N) face recognition is a powerful investigative tool commonly used by law...
The aim of this study was to devise a machine learning algorithm with superior performance in predic...
This paper introduces AIJIM, the Artificial Intelligence Journalism Integration Model -- a novel f...
Proceedings of the 3rd Italian Conference on Big Data and Data Science (ITADATA2024), held in Pisa...
This research paper presents an innovative ship detection system tailored for applications like ma...
The increasing frequency of firearm-related incidents has necessitated advancements in security an...
Current practices for reporting the level of differential privacy (DP) guarantees for machine lear...
Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many c...
Deep learning models have an intrinsic privacy issue as they memorize parts of their training data...
In this paper, we explore the application of ensemble optimal control to derive enhanced strategie...
Spatial clustering is a crucial field, finding universal use across criminology, pathology, and ur...
Automated CT report generation plays a crucial role in improving diagnostic accuracy and clinical ...
Motivation: PCR is more economical and quicker than Next Generation Sequencing for detecting targe...
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...
Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary r...
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrob...
OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expe...
In this paper, a novel dataset is introduced, designed to assess student attention within in-perso...
Facial expression recognition (FER) systems in low-resolution settings face significant challenges...