127 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Taibah UniversitySA6 papers
- King Abdulaziz UniversitySA5 papers
- Cairo UniversityEG4 papers
- École de Technologie SupérieureCA4 papers
- RMIT UniversityAU4 papers
- The University of Western AustraliaAU4 papers
- Anhui UniversityCN3 papers
- ARC Centre of Excellence in Future Low-Energy Electronics TechnologiesAU3 papers
- Chinese Academy of SciencesCN3 papers
- Guilin University of Electronic TechnologyCN3 papers
- Hefei Institutes of Physical ScienceCN3 papers
- High Magnetic Field LaboratoryCN3 papers
5 papers · 1 filter
Patient Independent Interictal Epileptiform Discharge Detection
Matthew McDougall, Hezam Albaqami, Ghulam Mubashar Hassan +1
Epilepsy is a highly prevalent brain condition with many serious complications arising from it. The majority of patients which present to a clinic and undergo electroencephalogram…
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive.…
Improved Gaussian-Bernoulli Restricted Boltzmann Machines for UAV-Ground Communication Systems
Osamah A. Abdullah, Michael C. Batistatos, Hayder Al-Hraishawi
Unmanned aerial vehicle (UAV) is steadily growing as a promising technology for next-generation communication systems due to their appealing features such as wide coverage with hig…
Wavelet-Based Multi-Class Seizure Type Classification System
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population. It is characterized by recurrent seizures, which come in different types and…
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree
Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi +1
Electroencephalography is frequently used for diagnostic evaluation of various brain-related disorders due to its excellent resolution, non-invasive nature and low cost. However, m…