8 citations · 12 across the 4 of their papers we have counts for
4 papers
A Novel Data Augmentation Strategy for Robust Deep Learning Classification of Biomedical Time-Series Data: Application to ECG and EEG Analysis
Mohammed Guhdar, Ramadhan J. Mstafa, Abdulhakeem O. Mohammed
The increasing need for accurate and unified analysis of diverse biological signals, such as ECG and EEG, is paramount for comprehensive patient assessment, especially in synchrono…
Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism
Mohammed Guhdar, Ramadhan J. Mstafa, Abdulhakeem O. Mohammed
Epilepsy is a prevalent neurological disorder globally, impacting around 50 million people \cite{WHO_epilepsy_50million}. Epileptic seizures result from sudden abnormal electrical…
Fast approximation and exact computation of negative curvature parameters of graphs
Jérémie Chalopin, Victor Chepoi, Feodor F. Dragan +3
In this paper, we study Gromov hyperbolicity and related parameters, that represent how close (locally) a metric space is to a tree from a metric point of view. The study of Gromov…
Slimness of graphs
Feodor F. Dragan, Abdulhakeem Mohammed
Slimness of a graph measures the local deviation of its metric from a tree metric. In a graph , a geodesic triangle with is the unio…