Latest AI and machine learning research in surveillance for healthcare professionals.
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 ...
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
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...
Image retrieval methods rely on metric learning to train backbone feature extraction models that c...
The reproducibility of computational pipelines is an expectation in biomedical science, particular...
We propose a pipeline for gaining insights into complex diseases by training LLMs on challenging s...
In medical reporting, the accuracy of radiological reports, whether generated by humans or machine...
With the emergence of large-scale vision-language models, realistic radiology reports may be gener...
Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillanc...
Age of Incorrect Information (AoII) is particularly relevant in systems where real time responses ...
Developing robust drone detection systems is often constrained by the limited availability of larg...
In this essay, we investigate some relations between Chemical Reaction Networks (CRN) and Mathemat...
Artificial intelligence (AI) has become indispensable for managing and processing the vast amounts...
Infectious diseases occur when pathogens from other individuals or animals infect a person, result...
We live in a world that is experiencing an unprecedented boom of AI applications that increasingly...
Patient outcomes of osteosarcoma vary because of tumor heterogeneity and treatment strategies. This ...