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Rozdział 2025

LARGE DATABASE OF AIS VESSEL TRAFFIC FOR SMART DECISION-MAKING BASED ON AI IN SHIPPING COMPANIES

Autorzy / redaktorzy: Ernest Czermański, Aneta Oniszczuk-Jastrząbek, Janusz Przewocki, Jakub Neumann, Tomasz Borzyszkowski, Elzbieta Szaruga, Michał Pluciński

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to assess the effectiveness of Principal Component Analysis (PCA) in identifying anomalies and improving data quality in AIS (Automatic Identification System) datasets used for maritime monitoring and decision-making. Need for the study: AIS plays a cr…

DOI: 10.18276/978-83-8419-053-1-29 · ISBN: 978-83-8419-053-1

Rozdział 2025

DYNAMIC FILLING OF DATA GAPS IN LARGE AIS DATASETS

Autorzy / redaktorzy: Dariusz Czerwiński, Adam Kiersztyn, Aneta Oniszczuk-Jastrząbek, Ernest Czermański, Izolda Gorgol, Michał Pluciński

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study examines some novel approach for filling missing data in AIS databases. Proposed solution is designed for filling dynamic data in AIS systems. Need for the study: In the era of globalization and intensive international trade, accurate monitoring of vessel a…

DOI: 10.18276/978-83-8419-053-1-21 · ISBN: 978-83-8419-053-1