STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location. - Abdulrahman Al-Molegi; Mohammed Jabreel; Baraq Ghaleb (SSCI, 2016)

Geo-Temporal Recurrent Model for Location Prediction. - Abdulrahman Al-Molegi; Antoni Martínez-Ballesté; Mohammed Jabreel (CCIA, 2017)

The Effect of Space-Time Representation Learning in Predicting People's Next Location. - Abdulrahman Al-Molegi; Antoni Martínez-Ballesté (CCIA, 2018)

On the Detection of Wandering Using Trajectories Datasets. - Antoni Martínez-Ballesté; Abdulrahman Al-Molegi; Edgar Batista (IISA, 2018)

Regions-of-interest discovering and predicting in smartphone environments. - Abdulrahman Al-Molegi; Izzat Alsmadi; Antoni Martínez-Ballesté (Pervasive Mob. Comput., 2018)

Move, Attend and Predict: An attention-based neural model for people's movement prediction. - Abdulrahman Al-Molegi; Mohammed Jabreel; Antoni Martínez-Ballesté (Pattern Recognit. Lett., 2018)

Contributions to Trajectory Analysis and Prediction: Statistical and Deep Learning Techniques. - Al-Molegi Abdulrahman Qasem (2019)

SafeMove: monitoring seniors with mild cognitive impairments using deep learning and location prediction. - Abdulrahman Al-Molegi; Antoni Martínez-Ballesté (Neural Comput. Appl., 2022)