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Abnormal Crowd Behavior Detection Based On Gaussian Mixture Model
(Springer Int Publishing AGCham, 2016)
An incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing
(2020-01-01)
The potential applications of computational tools, such as anomaly detection and incongruence, for analyzing data attract much attention from the scientific research community. However, there remains a need for more studies ...
Enhancing anomaly detection through restricted Boltzmann machine features projection
(2021-02-01)
Technology has been nurturing a wide range of applications in the past decades, assisting humans in automating some of their daily tasks. Nevertheless, more advanced technology systems also expose some potential flaws, ...
ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System
Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...
Online Anomaly Detection System for Mobile Networks
(Sensors (Basel), 2020)
The arrival of the fifth generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are currently being deployed ...
An Anomaly Detection Process for a Business Solution
(ITESO, 2020-11)
An Anomaly Detection Process for a Business Solution
(ITESO, 2020-11)