Marcela Castro

Design and Validation of a Governed Data Lakehouse Architecture for Big Data Analytics: Evidence from a Smart Port

Big Data platforms are expected to unify data engineering, governance and machine learning in one environment, and the data lakehouse has become the dominant architectural answer. Empirical evaluations on real operational data remain scarce, and those that exist tend to validate...

A Reproducible Workflow for AIS-Based ETA Forecasting: Evaluating the Influence of Data Preprocessing and Machine Learning Model Selection

Accurate Estimated Time of Arrival (ETA) forecasting is essential for improving operational planning and decision-making in modern ports. While machine learning has significantly enhanced ETA prediction using Automatic Identification System data, the impact of data preprocessing...