Alexiou, K., Pariotis, E. G., & Leligou, H. C. (2023). Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors. Designs, 7(2), 46-64. https://doi.org/10.3390/designs7020046

ALEXIOU, Kiriakos, PARIOTIS, Efthimios G. und LELIGOU, Helen C., 2023. Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors. Designs. 1 April 2023. Vol. 7, no. 2, p. 46-64. DOI 10.3390/designs7020046.

Alexiou, K., E. G. Pariotis, und H. C. Leligou. „Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors.“. Designs, Bd. 7, Nr. 2, April 2023, S. 46-64, https://doi.org/10.3390/designs7020046.

Alexiou, Kiriakos/Pariotis, Efthimios G./Leligou, Helen C.: Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors., Designs 2023, 46-64.

Alexiou, K., Pariotis, E.G. und Leligou, H.C. (2023), „Sensor Data Quality in Ships: A Time Series Forecasting Approach to Compensate for Missing Data and Drift in Measurements of Speed through Water Sensors.“, Designs, Vol. 7 No. 2, S. 46-64.