Latest AI and machine learning research in surveillance for healthcare professionals.
This research paper presents an innovative ship detection system tailored for applications like maritime surveillance and ecological monitoring. The study employs YOLOv8 and repurposed U-Net, two advanced deep learning models, to significantly enhance ship detection accuracy. Evaluation metrics include Mean Average Precision (mAP), processing speed, and overall accuracy. The research utilizes th...
The increasing frequency of firearm-related incidents has necessitated advancements in security and surveillance systems, particularly in firearm detection within public spaces. Traditional gun detection methods rely on manual inspections and continuous human monitoring of CCTV footage, which are labor-intensive and prone to high false positive and negative rates. To address these limitations, w...
Current practices for reporting the level of differential privacy (DP) guarantees for machine learning (ML) algorithms provide an incomplete and pot...
Foodborne gastrointestinal (GI) illness is a common cause of ill health in the UK. However, many cases do not interact with the healthcare system, p...
Deep learning models have an intrinsic privacy issue as they memorize parts of their training data, creating a privacy leakage. Membership Inference...
In this paper, we explore the application of ensemble optimal control to derive enhanced strategies for pharmacological cancer treatment. In particu...
Spatial clustering is a crucial field, finding universal use across criminology, pathology, and urban planning. However, most spatial clustering alg...
Automated CT report generation plays a crucial role in improving diagnostic accuracy and clinical workflow efficiency. However, existing methods lac...
Motivation: PCR is more economical and quicker than Next Generation Sequencing for detecting target organisms, with primer design being a critical s...
Image restoration under adverse weather conditions refers to the process of removing degradation caused by weather particles while improving visual ...
One of the basic requirements of humans is clothing and this approach aims to identify the garments selected by customer during shopping, from surve...
Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary radiology reports, and validation with reader studi...
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrobial resistance (AMR), are a serious global health ...
OBJECTIVE: To evaluate the methodological and reporting quality of clinical practice guidelines/expert consensus for ambulatory surgery centers publis...
In this paper, a novel dataset is introduced, designed to assess student attention within in-person classroom settings. This dataset encompasses RGB...
Facial expression recognition (FER) systems in low-resolution settings face significant challenges in accurately identifying expressions due to the ...
When an individual reports a negative interaction with some system, how can their personal experience be contextualized within broader patterns of s...
The World Health Organization (WHO) declared the COVID-19 outbreak a Public Health Emergency of International Concern (PHEIC) on January 31, 2020. H...
Many physical processes can be expressed through partial differential equations (PDEs). Real-world measurements of such processes are often collecte...
Deep Learning approaches in dermatological image classification have shown promising results, yet the field faces significant methodological challen...