A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction. - Shiva Maleki Varnosfaderani; Rihat Rahman; Nabil J. Sarhan; Levin Kuhlmann; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (AICAS, 2021)

Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction. - Rihat Rahman; Shiva Maleki Varnosfaderani; Omar Makke; Nabil J. Sarhan; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (ISCAS, 2021)

Analysis of Artifacts Removal Techniques in EEG Signals for Energy-Constrained Devices. - Ian McNulty; Shiva Maleki Varnosfaderani; Omar Makke; Nabil J. Sarhan; Eishi Asano; Aimee F. Luat; Mohammad Alhawari (MWSCAS, 2021)

A Self-Aware Power Management Model for Epileptic Seizure Systems Based on Patient-Specific Daily Seizure Pattern. - Shiva Maleki Varnosfaderani; Rihat Rahman; Nabil J. Sarhan; Mohammad Alhawari (ICM, 2023)

Artifacts Removal Techniques for the European iEEG Dataset. - Shiva Maleki Varnosfaderani; Ian McNulty; Nabil J. Sarhan; Mohammad Alhawari (MWSCAS, 2023)

Benchmarking RRAM Crossbar Arrays for Epileptic Seizure Prediction. - Ahmedul Khan; Shiva Maleki Varnosfaderani; Mohammad Alhawari; Gozde Tutuncuoglu (MWSCAS, 2024)

Performance Evaluation of Epilepsy Prediction Model Based on Seizure' Type and Patients' Characteristics. - Shiva Maleki Varnosfaderani; Nabil J. Sarhan; Mohammad Alhawari (MWSCAS, 2024)

An Efficient Epilepsy Prediction Model on European Dataset With Model Evaluation Considering Seizure Types. - Shiva Maleki Varnosfaderani; Ian McNulty; Nabil J. Sarhan; Waleed Abood; Mohammad Alhawari (IEEE J. Biomed. Health Informatics, 2024)