AI-Powered Trade Forecasting: A Data-Driven Approach to Saudi Arabia’s Non-Oil Exports

AI-Powered Trade Forecasting: A Data-Driven Approach to Saudi Arabia’s Non-Oil Exports

This paper investigates the application of artificial intelligence (AI) in forecasting Saudi Arabia’s non-oil export trajectories, contributing to the Kingdom’s Vision 2030 objectives for economic diversification. A suite of machine learning models, including LSTM, Transformer variants, Ensemble Sta...

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Bibliographic Details
Main Authors: Musab Aloudah, Mahdi Alajmi, Alaa Sagheer, Abdulelah Algosaibi, Badr Almarri, Eid Albelwi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Big Data and Cognitive Computing
Subjects:
artificial intelligence
machine learning
economic forecasting
non-oil exports
time-series forecasting
Transformer models
Online Access:https://www.mdpi.com/2504-2289/9/4/94
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