Javad Sheikh
Javad Sheikh
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Anomaly Detection
A Comprehensive Study of Clustering-Based Techniques for Detecting Abnormal Vessel Behavior
The paper explores different clustering methods using AIS data to detect two dangerous abnormal behaviors in maritime vessels like dark ships (vessels turning off AIS for illegal activities) and spiral vessel movements. It evaluates K-means, DBSCAN, AP, and GMM techniques using three months of AIS data from the Baltic Sea. Results show that K-means is effective in identifying these threatening events, contributing to improving maritime safety.
Farshad Farahnakian
,
Florent Nicolas
,
Fahimeh Farahnakian
,
Paavo Nevalainen
,
Javad Sheikh
,
Jukka Heikkonen
,
Csaba Raduly-Baka
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DOI
Anomaly detection on time series using deep neural networks
Despite significant advances in artificial intelligence and high-speed hardware, computers still do not have the same human …
Javad Sheikh
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