Latest AI and machine learning research in surveillance for healthcare professionals.
Simulation models inform health policy decisions by integrating data from multiple sources and forec...
Should original research routinely contain prominent policy claims, such as recommendations for poli...
The concept of fairness has been extensively examined within the domains of Machine Learning and Art...
The estimates of national disease risk are considerably limited by the time of conducted surveys and...
Current research on Gender-Based Violence (GBV) typically separates predictive machine learning and ...
Artificial intelligence (AI) models with medical images as input data are increasingly proposed to s...
Severe cutaneous adverse reactions (SCARs), including Stevens-Johnson syndrome/toxic epidermal necro...
This study aimed to systematically review and critically evaluate the risk of bias and applicability...
Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the worl...
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic ...
Surveillance systems are integral to ensuring public safety by detecting unusual incidents, yet exis...
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial pr...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...
The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...
Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and inform...
This study investigates the mechanisms of Surveillance Capitalism, focusing on personal data trans...
Many surveillance cameras switch between daytime and nighttime modes based on illuminance levels. ...
Accurately modeling and analyzing time series data is crucial for downstream applications across v...
In medical reporting, the accuracy of radiological reports, whether generated by humans or machine...
Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillanc...
In this essay, we investigate some relations between Chemical Reaction Networks (CRN) and Mathemat...