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Vessel and Port Efficiency Metrics through Validated AIS data
Automatic Identification System (AIS) data represents a rich source of information about maritime traffic and offers a great potential for data analytics and predictive modeling solutions, which can help optimizing logistic chains and to reduce environmental impacts.
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Anomaly detection in visual data refers to the problem of differentiating abnormal appearances from normal cases.
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance and is a widely studied problem in different domains.
Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery
In this paper, we present a ship detection pipeline for low-cost medium resolution satellite optical imagery obtained from ESA Sentinel-2 and Planet Labs Dove constellations.
Machine Learning based System for Vessel Turnaround Time Prediction
In this paper, we present a novel system for predicting vessel turnaround time, based on machine learning and standardized port call data.
