98 citations · 173 across the 7 of their papers we have counts for
7 papers
Stylometry Analysis of Human and Machine Text for Academic Integrity
Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad +5
This work addresses critical challenges to academic integrity, including plagiarism, fabrication, and verification of authorship of educational content, by proposing a Natural Lang…
LiDAR-based 3D Change Detection at City Scale
Hezam Albaqami, Haitian Wang, Xinyu Wang +5
High-definition 3D city maps enable city planning and change detection, which is essential for municipal compliance, map maintenance, and asset monitoring, including both built str…
LiDAR, GNSS and IMU Sensor Fine Alignment through Dynamic Time Warping to Construct 3D City Maps
Haitian Wang, Hezam Albaqami, Xinyu Wang +5
LiDAR-based 3D mapping suffers from cumulative drift causing global misalignment, particularly in GNSS-constrained environments. To address this, we propose a unified framework tha…
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.…
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…