Hierarchical Bayesian Spatio-Temporal Modeling for PM10 Prediction. - Esam Mahdi; Sana Alshamari; Maryam Khashabi; Alya Alkorbi (J. Appl. Math., 2021)

A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data. - Esam Mahdi; Víctor Leiva; Saed Mara'Beh; Carlos Martín-Barreiro (Sensors, 2021)

New mixed portmanteau tests for time series models. - Esam Mahdi (Stat. Comput., 2024)

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices. - Esam Mahdi; Carlos Martín-Barreiro; Xavier Cabezas (CoRR, 2025)