… Neural Network (CNN) in antifire surveillance systems. YOLOv2 … defines the probability of
the class presence in the box. Only one … of video analytics. In: International conference image …

… analysis includes data from … using proportions and 95% CIs. Results are presented by age
group with between group differences assessed using independent sample t-tests or analysis …

… into already functioning video analytics systems are proposed. … these models in real-world
video-surveillance contexts. … one-class SVM is trained over the extracted features to learn the …

… -time control and analysis in big data surveilling environments, we aim to … analysis and
target detection. We deploy a lightweight learning model using an improved deep neural network …

… server for analysis or processed locally at the edge devices to obtain useful insights using AI
… Section 6 summarizes the key insights and lessons learned from the literature. In Section 7, …

… analysis is derived from the paper’s co-citation analysis. In the author’s co-citation network,
… Virtual care platforms using video conferencing and digital surveillance have been used …

… Network security protects the computer network from … for determining students’ interest in
lessons based on their head … the performance and power of video analysis by 8–10 times, but …

… on monitoring immunization inequalities using survey data is … surveillance, rapid coverage
monitoring, and vaccine supply data should be routinely conducted for public health analysis …

… Additionally, papers on data privacy, security and analytics … the length of the public transport
network versus GDP per head … delivery of lessons, such as face-to-face learning with social …

… need for public security problems and broadly equipped surveillance … Subsequently, a
one-class SVM is used for predicting the … 9 illustrates the brief comparative results analysis of the …