Global ETD Search

Forcasting U.S. air pollution: a comparative study of SARIMAX and LSTM

Feng, Y.2024

tilburg Repository record for Forcasting U.S. air pollution: a comparative study of SARIMAX and LSTM (opens in a new tab)

Enhancing airfare price prediction with machine learning and SARIMAX-based time series analysis

Čortan, L.2025

tilburg Repository record for Enhancing airfare price prediction with machine learning and SARIMAX-based time series analysis (opens in a new tab)

Time series modelling of groundwater levels in a selected semi-arid catchment within Vhembe District Municipality, South Africa

Madula, Andy2025

… Moving Average with eXogenous variables (SARIMAX) model were used to model the interaction between groundwater levels, temperature, wind speed, evaporation, and rainfall. The unpredictable occurrence of rainfall and other weather conditions in semi-arid and arid regions has caused a …

venda Repository record for Time series modelling of groundwater levels in a selected semi-arid catchment within Vhembe District Municipality, South Africa (opens in a new tab)

Utilizing Machine Learning for Managing Groundwater Supply

Shirley, Kayla CelesteVirginia Tech2021

… chosen for this study were the Random Forest and SARIMAX models. Historical datasets were divided into training/calibration and testing/validation sets, and the respective models were fit to the data. These calibrated models were then compared to the performance of the Theis solution. Across both …

vt Repository record for Utilizing Machine Learning for Managing Groundwater Supply (opens in a new tab)

Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data

Hout, K. van2025

tilburg Repository record for Cash flow forecasting in the Dutch dairy sector using traditional and machine learning models : a comparative evaluation of SARIMAX, XGBoost, GRU, and LSTM models on farm-level data (opens in a new tab)

Modelo de gestión para la mejora de la eficiencia operativa en una empresa del sector bebidas en Lima - Perú, mediante la integración de MRP, Machine Learning y Mantenimiento Autónomo (Manuelo & Ruiz, 2026)

Manuelo Solier, Haydee Magaly, Ruiz Verde, Hellyn XiomaraUniversidad Peruana de Ciencias Aplicadas (UPC)2026

… pronósticos generados mediante un modelo híbrido SARIMAX-LSTM, complementado con la aplicación de la herramienta de Mantenimiento Autónomo para mejorar la disponibilidad de los equipos y reducir las interrupciones no programadas. La integración de estas herramientas busca optimizar la …

upc-peru Repository record for Modelo de gestión para la mejora de la eficiencia operativa en una empresa del sector bebidas en Lima - Perú, mediante la integración de MRP, Machine Learning y Mantenimiento Autónomo (Manuelo & Ruiz, 2026) (opens in a new tab)

Preemptive variation reduction in biologic drug substance manufacturing

Güereca Valdivia, IsmaelMassachusetts Institute of Technology2024

… Autoregressive Integrated Moving-Average (SARIMAX) models accomplished precise real-time estimations of biomass concentration. Both results validate the optimization of large-scale biomanufacturing processes by highlighting the potential of digital twins and soft sensors in reducing …

mit Repository record for Preemptive variation reduction in biologic drug substance manufacturing (opens in a new tab)

Συμβολή στην ανάλυση της λειτουργίας και σχεδίασης σύγχρονων αγορών ηλεκτρικής ενέργειας με εφαρμογές σε πραγματικό σύστημα

Δικαιάκος, Χρίστος2020

… Μέσου Όρου ARIMA, με εξωγενείς παραμέτρους (SARIMAX), ένα μοντέλο που στηρίχθηκε στη μέθοδο της εκθετικής απόσβεσης των Holt & Winter (ETS), ένα Υβριδικό Αναγωγικό μοντέλο με τη Μέθοδο της Ανάλυσης σε Κύριες Συνιστώσες, ένα Τεχνητό Νευρωνικό Δίκτυο, ANN καθώς και ένα μοντέλο Μηχανής …

patras-thes Repository record for Συμβολή στην ανάλυση της λειτουργίας και σχεδίασης σύγχρονων αγορών ηλεκτρικής ενέργειας με εφαρμογές σε πραγματικό σύστημα (opens in a new tab)