Search
Now showing items 11-14 of 14
Why do students prefer search engines over academic databases
(IEEE Computer Society, 2013)
Students' preference of search engines in online information retrieval has been a problem for several reasons. This work tries to share our experience about the reasons why they do not utilize academic databases. Past ...
Complex event post processing for traffic accidents
(IEEE, 2012)
In this paper we describe a framework for an expert system that tries to predict effects of an accident based on past data using supervised learning employing artificial neural networks. For this purpose sensory data events ...
Anomaly Detection in Walking Trajectory
(IEEE, 2018)
Analysis of the walking trajectory and the detection of anomalies in this trajectory, provide important benefits in the fields of health and security. In this work, two methods to detect anomalies in trajectories, are ...
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)
Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...